# Online-Visual-Tracking-SOTA
**Repository Path**: wu-junfenggitee/Online-Visual-Tracking-SOTA
## Basic Information
- **Project Name**: Online-Visual-Tracking-SOTA
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 1
- **Created**: 2025-06-06
- **Last Updated**: 2025-06-06
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# Online-Visual-Tracking-SOTA
This page focuses on watching the state-of-the-art performance for the short-term tracking task (if you are interested in the long-term tracking task, please visit **[here](https://github.com/wangdongdut/Long-term-Visual-Tracking)**). The evaluation datasets include:
LaSOT, TrackingNet, GOT-10k, NOTU (NFS, OTB-100, TC-128, UAV123) and VOT family. If you are also interested in some resources on Paper Writting (computer vision), please visit **[here](https://github.com/wangdongdut/PaperWriting)**.
**:star:** **Recently, transformer-based trackers (STARK (ICCV21), TransT (CVPR21), TrDimp (CVPR21)) obtain leading results.**
* **LaSOT:star2:**
| Tracker | Success Score | Speed (fps) | Paper/Code |
|:----------- |:----------------:|:----------------:|:----------------:|
| LTCA (ICCV21) | 0.672 | 13 (RTX 2080Ti) | [Paper](https://arxiv.org/abs/2103.16556)/[Code](https://github.com/visionml/pytracking) |
| STARK (ICCV21) | 0.671 | 32 (Tesla V100) | [Paper](https://arxiv.org/abs/2103.17154)/[Code](https://github.com/researchmm/Stark) |
| ARDiMPsuper (CVPR21) | 0.653 | 33 (RTX 2080Ti) | [Paper](https://arxiv.org/abs/2012.06815)/[Code](https://github.com/MasterBin-IIAU/AlphaRefine) |
| TransT (CVPR21) | 0.649 | 50 (RTX 2080Ti) | [Paper](https://arxiv.org/abs/2103.15436)/[Code](https://github.com/chenxin-dlut/TransT) |
| Siam R-CNN (CVPR20) | 0.648 | 5 (Tesla V100) | [Paper](https://arxiv.org/pdf/1911.12836.pdf)/[Code](https://github.com/VisualComputingInstitute/SiamR-CNN) |
| TrDimp (CVPR21) | 0.639 | 26 (GTX 1080Ti) | [Paper](https://arxiv.org/abs/2103.11681)/[Code](https://github.com/594422814/TransformerTrack) |
| PrDiMP50 (CVPR20) | 0.598 | 30 (Unkown GPU) | [Paper](https://arxiv.org/pdf/2003.12565.pdf)/[Code](https://github.com/visionml/pytracking) |
| LTMU (CVPR20) | 0.572 | 13 (RTX 2080Ti) | [Paper](https://arxiv.org/abs/2004.00305)/[Code](https://github.com/Daikenan/LTMU) |
| DiMP50 (ICCV19) | 0.568 | 43 (GTX 1080) | [Paper](https://arxiv.org/pdf/1904.07220.pdf)/[Code](https://github.com/visionml/pytracking) |
| Ocean (ECCV20) | 0.560 | 25 (Tesla V100) | [Paper](https://arxiv.org/abs/2006.10721)/[Code](https://github.com/researchmm/TracKit) |
| GlobalTrack (AAAI20) | 0.521 | 6 (GTX TitanX) | [Paper](https://arxiv.org/abs/1912.08531)/[Code](https://github.com/huanglianghua/GlobalTrack) |
* **Baseline(short-term): SiamRPN++, Ocean, DiMP, PrDiMP, Siam R-CNN**
* **Baseline(long-term): GlobalTrack, LTMU, Siam R-CNN**
* **[paperswithcode-SOTA](https://paperswithcode.com/sota/visual-object-tracking-on-lasot): https://paperswithcode.com/sota/visual-object-tracking-on-lasot**
* **TrackingNet:star2:**
| Tracker | Success Score | Norm Precision Score | Speed (fps) | Paper/Code |
|:----------- |:----------------:|:----------------:|:----------------:|:----------------:|
| STARK (ICCV21) | 0.820 | 0.869 | 32 (Tesla V100) | [Paper](https://arxiv.org/abs/2103.17154)/[Code](https://github.com/researchmm/Stark) |
| TransT (CVPR21) | 0.814 | 0.867 | 50 (RTX 2080Ti) | [Paper](https://arxiv.org/abs/2103.15436)/[Code](https://github.com/chenxin-dlut/TransT) |
| Siam R-CNN (CVPR20) | 0.812 | 0.854 | 5 (Tesla V100) | [Paper](https://arxiv.org/pdf/1911.12836.pdf)/[Code](https://github.com/VisualComputingInstitute/SiamR-CNN) |
| ARDiMPsuper (CVPR21) | 0.805 | 0.856 | 33 (RTX 2080Ti) | [Paper](https://arxiv.org/abs/2012.06815)/[Code](https://github.com/VisualComputingInstitute/SiamR-CNN) |
| TrDimp (CVPR21) | 0.784 | 0.833 | 26 (GTX 1080Ti) | [Paper](https://arxiv.org/abs/2103.11681)/[Code](https://github.com/594422814/TransformerTrack) |
| PrDiMP50 (CVPR20) | 0.758 | 0.816 | 30 (Unkown GPU) | [Paper](https://arxiv.org/pdf/2003.12565.pdf)/[Code](https://github.com/visionml/pytracking) |
| DiMP50 (ICCV19) | 0.740 | 0.801 | 43 (GTX 1080) | [Paper](https://arxiv.org/pdf/1904.07220.pdf)/[Code](https://github.com/visionml/pytracking) |
| SiamRPN++ (CVPR19) | 0.733 | 0.800 | 35 (Titan XP) | [Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_SiamRPN_Evolution_of_Siamese_Visual_Tracking_With_Very_Deep_Networks_CVPR_2019_paper.pdf)/[Code](https://github.com/STVIR/pysot) |
* TrackingNet Leaderboard：http://eval.tracking-net.org/web/challenges/challenge-page/39/leaderboard
* **Baseline: SiamRPN++, Ocean, DiMP, PrDiMP, Siam R-CNN**
* **GOT-10k:star2:**
| Tracker | Success Score (AO) | Speed (fps) | Paper/Code |
|:----------- |:----------------:|:----------------:|:----------------:|
| STARK (ICCV11) | 0.688 | 32 (Tesla V100) | [Paper](https://arxiv.org/abs/2103.17154)/[Code](https://github.com/researchmm/Stark) |
| TransT (CVPR21) | 0.671 | 50 (RTX 2080Ti) | [Paper](https://arxiv.org/abs/2103.15436)/[Code](https://github.com/chenxin-dlut/TransT) |
| TrDimp (CVPR21) | 0.671 | 26 (GTX 1080Ti) | [Paper](https://arxiv.org/abs/2103.11681)/[Code](https://github.com/594422814/TransformerTrack) |
| Siam R-CNN (CVPR20) | 0.649 | 5 (Tesla V100) | [Paper](https://arxiv.org/pdf/1911.12836.pdf)/[Code](https://github.com/VisualComputingInstitute/SiamR-CNN) |
| PrDiMP50 (CVPR20) | 0.634 | 30 (Unkown GPU) | [Paper](https://arxiv.org/pdf/2003.12565.pdf)/[Code](https://github.com/visionml/pytracking) |
| RPT (ECCVW20) | 0.624 | 20 (GTX 1080Ti) | [Paper](https://arxiv.org/pdf/2008.03467.pdf)|
| Ocean (ECCV20) | 0.611 | 25 (Tesla V100) | [Paper](https://arxiv.org/abs/2006.10721)/[Code](https://github.com/researchmm/TracKit) |
| DiMP50 (ICCV19) | 0.611 | 43 (GTX 1080) | [Paper](https://arxiv.org/pdf/1904.07220.pdf)/[Code](https://github.com/visionml/pytracking) |
* GOT-10k leaderboard: http://got-10k.aitestunion.com/leaderboard
* **Baseline: SiamRPN++, Ocean, DiMP, PrDiMP, Siam R-CNN**
* **NOTU:star2:**
* **[VOT Challenge](https://www.votchallenge.net/challenges.html):star2:**
* **VOT 2021**
* **VOT 2020**
* VOT Challenge: https://www.votchallenge.net/challenges.html
## All Short-Term Tracking Datasets:
* **List:**
| Datasets | #videos | #total/min/max/average frames|Absent Label|
|:----------- |:----------------:|:----------------:|:----------------:|
| [LaSOT](https://cis.temple.edu/lasot/) | 1,400 (I-all-1,400/II-test-280) | 3.52M/1,000/11,397/2,506 | Yes |
| [VOT2018]() | | | No |
| [TrackingNet]() | | | No |
| [GOT-10k](http://got-10k.aitestunion.com/) | train-10k, val-180, test-180 | 1.5M | No |
| [NfS](http://ci2cv.net/nfs/index.html) | 100 | 383K/169/20,665/3,830 | No |
| [UAV123](https://uav123.org/) | 123 | 113K/109/3,085/915 | No |
| | | |
| [OTB-2015](http://cvlab.hanyang.ac.kr/tracker_benchmark/) | 100 | 59K/71/3,872/590 | No |
| [TC-128](http://www.dabi.temple.edu/~hbling/data/TColor-128/TColor-128.html) | 128 | 55K/71/3,872/429 | No |
| [ALOV300++](http://alov300pp.joomlafree.it/) | 315 | 8.9K/XXXX/XXXX/284 | No |
| [NUS-PRO](https://www.ece.nus.edu.sg/lv/pro/nus_pro.html) | 365 | 135K/146/5,040/371 | No |
* [OTB-2013/OTB-50](http://cvlab.hanyang.ac.kr/tracker_benchmark/benchmark_v10.html) is a subset of OTB-2015.
## Conference Tracking Papers:
* **ICCV 2021:**
* Learning Spatio-Temporal Transformer for Visual Tracking. ICCV, 2021.
Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu. [[Paper](https://arxiv.org/abs/2103.17154)][[Code](https://github.com/researchmm/Stark)]
* Learning Target Candidate Association to Keep Track of What Not to Track. ICCV, 2021.
Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool. [[Paper](https://arxiv.org/abs/2103.16556)][[Code](https://github.com/visionml/pytracking)]
* Learn to Match: Automatic Matching Network Design for Visual Tracking. ICCV, 2021.
Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu. [[Paper](https://arxiv.org/abs/2108.00803)][[Code](https://github.com/JudasDie/SOTS)]
* Learning to Adversarially Blur Visual Object Tracking. ICCV, 2021.
Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao. [[Paper](https://arxiv.org/abs/2107.12085)][[Code](https://github.com/tsingqguo/ABA)]
* HiFT: Hierarchical Feature Transformer for Aerial Tracking. ICCV, 2021.
Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li. [[Paper](https://arxiv.org/abs/2108.00202)][[Code]( https://github.com/vision4robotics/HiFT)]
* Saliency-Associated Object Tracking. ICCV, 2021.
Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He. [[Paper](https://arxiv.org/abs/2108.03637)][[Code](https://github.com/ZikunZhou/SAOT)]
* Video Annotation for Visual Tracking via Selection and Refinement. ICCV, 2021.
Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang. [[Paper](https://arxiv.org/abs/2108.03821)][[Code]()]
* Transparent Object Tracking Benchmark. ICCV, 2021.
Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling. [[Paper](https://arxiv.org/abs/2011.10875)][[Project](https://hengfan2010.github.io/projects/TOTB/)]
* Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds. ICCV, 2021.
Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui. [[Paper](https://arxiv.org/abs/2108.03821)][[Code](https://github.com/Ghostish/BAT)]
* Object Tracking by Jointly Exploiting Frame and Event Domain. ICCV, 2021.
Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, Baocai Yin, Bo Dong. [[Paper]()][[Project](https://zhangjiqing.com/dataset/)]
* **CVPR 2021:**
* Transformer Tracking. CVPR, 2021.
Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun yang, Huchuan Lu. [[Paper](https://arxiv.org/abs/2103.15436)][[Code](https://github.com/chenxin-dlut/TransT)]
* Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation. CVPR, 2021.
Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang. [[Paper](https://arxiv.org/abs/2012.06815)][[Code](https://github.com/MasterBin-IIAU/AlphaRefine)]
* LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search. CVPR, 2021.
Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu. [[Paper](https://arxiv.org/abs/2104.14545)][[Code](https://github.com/researchmm/LightTrack)]
* Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking. CVPR, 2021.
Ning Wang, Wengang Zhou, Jie Wang, Houqiang Li. [[Paper](https://arxiv.org/abs/2103.11681)][[Code](https://github.com/594422814/TransformerTrack)]
* Graph Attention Tracking. CVPR, 2021.
Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen. [[Paper](https://arxiv.org/abs/2011.11204)][[Code](https://github.com/ohhhyeahhh/SiamGAT)]
* Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark. CVPR, 2021.
Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu. [[Paper]()][[Project](https://sites.google.com/view/langtrackbenchmark/)]
* Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers. CVPR, 2021.
Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff. [[Paper](https://arxiv.org/abs/1912.02048v2)][[Project]()]
* Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. CVPR, 2021.
Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang. [[Paper](https://arxiv.org/abs/2104.12041)][[Project](https://github.com/hqucv/dmtrack)]
* Learning to Filter: Siamese Relation Network for Robust Tracking. CVPR, 2021.
Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang. [[Paper](https://arxiv.org/abs/2104.00829)][[Code](https://github.com/hqucv/siamrn)]
* STMTrack: Template-free Visual Tracking with Space-time Memory Networks. CVPR, 2021.
Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang. [[Paper](https://arxiv.org/abs/2104.00324)][[Code](https://github.com/fzh0917/STMTrack)]
* IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking. CVPR, 2021.
Shuai Jia, Yibing Song, Chao Ma, Xiaokang Yang. [[Paper](https://arxiv.org/abs/2103.14938)][[Code](https://github.com/VISION-SJTU/IoUattack)]
* Rotation Equivariant Siamese Networks for Tracking. CVPR, 2021.
Deepak K. Gupta, Devanshu Arya, Efstratios Gavves. [[Paper](https://arxiv.org/abs/2012.13078)][[Code](https://github.com/dkgupta90/re-siamnet)]
* Progressive Unsupervised Learning for Visual Object Tracking. CVPR, 2021.
Qiangqiang Wu, Jia Wan, Antoni B. Chan. [[Paper]()][[Code]()]
* MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking. CVPR, 2021.
Jennifer Jang, Heinrich Jiang. [[Paper]()][[Code]()]
* CapsuleRRT: Relationships-Aware Regression Tracking via Capsules. CVPR, 2021.
Ding Ma, Xiangqian Wu. [[Paper]()][[Code]()]
* **2020:**
* High-Performance Long-Term Tracking with Meta-Updater. CVPR, 2020.
Kenan Dai, Yunhua Zhang, Dong Wang, Jianhua Li, Huchuan Lu, Xiaoyun Yang. [[Paper]()][[Code](https://github.com/Daikenan/LTMU)]
* Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises. CVPR, 2020.
Bin Yan, Dong Wang, Huchuan Lu, Xiaoyun Yang. [[Paper]()][[Code](https://github.com/MasterBin-IIAU/CSA)]
* Siam R-CNN: Visual Tracking by Re-Detection. CVPR, 2020.
Paul Voigtlaender, Jonathon Luiten, Philip H. S. Torr, Bastian Leibe. [[Paper]()][[Code](https://github.com/VisualComputingInstitute/SiamR-CNN)]
* Probabilistic Regression for Visual Tracking. CVPR, 2020.
Martin Danelljan, Luc Van Gool, Radu Timofte. [[Paper]()][[Code](https://github.com/visionml/pytracking)]
* D3S - A Discriminative Single Shot Segmentation Tracker. CVPR, 2020.
Alan Lukezic, Jiri Matas, Matej Kristan. [[Paper]()][[Code](https://github.com/alanlukezic/d3s)]
* Tracking by Instance Detection: A Meta-Learning Approach. CVPR, 2020.
Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wenjun Zeng: Tracking by Instance Detection: A Meta-Learning Approach. [[Paper]()][[Code]()]
* SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking. CVPR, 2020.
Dongyan Guo, Jun Wang, Ying Cui, Zhenhua Wang, Shengyong Chen. [[Paper]()][[Code](https://github.com/ohhhyeahhh/SiamCAR)]
* Siamese Box Adaptive Network for Visual Tracking. CVPR, 2020.
Zedu Chen, Bineng Zhong, Guorong Li, Shengping Zhang, Rongrong Ji. [[Paper]()][[Code](https://github.com/hqucv/siamban)]
* Deformable Siamese Attention Networks for Visual Object Tracking. CVPR, 2020.
Yuechen Yu, Yilei Xiong, Weilin Huang, Matthew R. Scott. [[Paper]()][[Code]()]
* MAST: A Memory-Augmented Self-supervised Tracker. CVPR, 2020.
Zihang Lai, Erika Lu, Weidi Xie. [[Paper]()][[Code](https://github.com/zlai0/MAST)]
* ROAM: Recurrently Optimizing Tracking Model. CVPR, 2020.
Tianyu Yang, Pengfei Xu, Runbo Hu, Hua Chai, Antoni B. Chan. [[Paper]()][[Code](https://github.com/skyoung/ROAM)]
* AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization. CVPR, 2020.
Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu. [[Paper]()][[Code](https://github.com/vision4robotics/AutoTrack)]
* **2019:**
* Unsupervised Deep Tracking. CVPR, 2019.
Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Unsupervised_Deep_Tracking_CVPR_2019_paper.pdf)][[Code](https://github.com/594422814/UDT)]
* Fast Online Object Tracking and Segmentation: A Unifying Approach. CVPR, 2019.
Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_Fast_Online_Object_Tracking_and_Segmentation_A_Unifying_Approach_CVPR_2019_paper.pdf)]
* Object Tracking by Reconstruction With View-Specific Discriminative Correlation Filters. CVPR, 2019.
Ugur Kart, Alan Lukezic, Matej Kristan, Joni-Kristian Kamarainen, Jiri Matas. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Kart_Object_Tracking_by_Reconstruction_With_View-Specific_Discriminative_Correlation_Filters_CVPR_2019_paper.pdf)]
* Target-Aware Deep Tracking. CVPR, 2019.
Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Target-Aware_Deep_Tracking_CVPR_2019_paper.pdf)]
* SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking. CVPR, 2019.
Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Wang_SPM-Tracker_Series-Parallel_Matching_for_Real-Time_Visual_Object_Tracking_CVPR_2019_paper.pdf)]
* SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks. CVPR, 2019.
Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_SiamRPN_Evolution_of_Siamese_Visual_Tracking_With_Very_Deep_Networks_CVPR_2019_paper.pdf)]
* Deeper and Wider Siamese Networks for Real-Time Visual Tracking. CVPR, 2019.
Zhipeng Zhang, Houwen Peng. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Zhang_Deeper_and_Wider_Siamese_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf)]
* Graph Convolutional Tracking. CVPR, 2019.
Junyu Gao, Tianzhu Zhang, Changsheng Xu. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Gao_Graph_Convolutional_Tracking_CVPR_2019_paper.pdf)]
* ATOM: Accurate Tracking by Overlap Maximization. CVPR, 2019.
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Danelljan_ATOM_Accurate_Tracking_by_Overlap_Maximization_CVPR_2019_paper.pdf)]
* Visual Tracking via Adaptive Spatially-Regularized Correlation Filters. CVPR, 2019.
Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Dai_Visual_Tracking_via_Adaptive_Spatially-Regularized_Correlation_Filters_CVPR_2019_paper.pdf)]
* LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. CVPR, 2019.
Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_LaSOT_A_High-Quality_Benchmark_for_Large-Scale_Single_Object_Tracking_CVPR_2019_paper.pdf)]
* ROI Pooled Correlation Filters for Visual Tracking. CVPR, 2019.
Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Sun_ROI_Pooled_Correlation_Filters_for_Visual_Tracking_CVPR_2019_paper.pdf)]
* Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking. CVPR, 2019.
Heng Fan, Haibin Ling. [[Paper](http://openaccess.thecvf.com/content_CVPR_2019/papers/Fan_Siamese_Cascaded_Region_Proposal_Networks_for_Real-Time_Visual_Tracking_CVPR_2019_paper.pdf)]
* Deep Meta Learning for Real-Time Target-Aware Visual Tracking. ICCV, 2019.
Janghoon Choi, Junseok Kwon, Kyoung Mu Lee. [[Paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Choi_Deep_Meta_Learning_for_Real-Time_Target-Aware_Visual_Tracking_ICCV_2019_paper.pdf)]
* 'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking. ICCV, 2019.
Bin Yan, Haojie Zhao, Dong Wang, Huchuan Lu, Xiaoyun Yang. [[Paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Yan_Skimming-Perusal_Tracking_A_Framework_for_Real-Time_and_Robust_Long-Term_Tracking_ICCV_2019_paper.pdf)]
* Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking. ICCV, 2019.
Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu. [[Paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Huang_Learning_Aberrance_Repressed_Correlation_Filters_for_Real-Time_UAV_Tracking_ICCV_2019_paper.pdf)]
* Physical Adversarial Textures That Fool Visual Object Tracking. ICCV, 2019.
Rey Reza Wiyatno, Anqi Xu. [[Paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Wiyatno_Physical_Adversarial_Textures_That_Fool_Visual_Object_Tracking_ICCV_2019_paper.pdf)]
* GradNet: Gradient-Guided Network for Visual Object Tracking. ICCV, 2019.
Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang, Huchuan Lu. [[Paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_GradNet_Gradient-Guided_Network_for_Visual_Object_Tracking_ICCV_2019_paper.pdf)]
* Learning Discriminative Model Prediction for Tracking. ICCV, 2019.
Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte. [[Paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Bhat_Learning_Discriminative_Model_Prediction_for_Tracking_ICCV_2019_paper.pdf)]
* Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking. ICCV, 2019.
Tianyang Xu, Zhen-Hua Feng, Xiao-Jun Wu, Josef Kittler. [[Paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Xu_Joint_Group_Feature_Selection_and_Discriminative_Filter_Learning_for_Robust_ICCV_2019_paper.pdf)]
* CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark. ICCV, 2019.
Alan Lukezic, Ugur Kart, Jani Kapyla, Ahmed Durmush, Joni-Kristian Kamarainen, Jiri Matas, Matej Kristan. [[Paper](http://openaccess.thecvf.com/content_ICCV_2019/papers/Lukezic_CDTB_A_Color_and_Depth_Visual_Object_Tracking_Dataset_and_ICCV_2019_paper.pdf)]
* **2018:**
* Context-Aware Deep Feature Compression for High-Speed Visual Tracking. CVPR, 2018.
Jongwon Choi, Hyung Jin Chang, Tobias Fischer, Sangdoo Yun, Kyuewang Lee, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Choi_Context-Aware_Deep_Feature_CVPR_2018_paper.pdf)]
* Correlation Tracking via Joint Discrimination and Reliability Learning. CVPR, 2018.
Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Correlation_Tracking_via_CVPR_2018_paper.pdf)]
* Hyperparameter Optimization for Tracking With Continuous Deep Q-Learning. CVPR, 2018.
Xingping Dong, Jianbing Shen, Wenguan Wang, Yu Liu, Ling Shao, Fatih Porikli. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Dong_Hyperparameter_Optimization_for_CVPR_2018_paper.pdf)]
* End-to-End Flow Correlation Tracking With Spatial-Temporal Attention. CVPR, 2018.
Zheng Zhu, Wei Wu, Wei Zou, Junjie Yan. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_End-to-End_Flow_Correlation_CVPR_2018_paper.pdf)]
* Efficient Diverse Ensemble for Discriminative Co-Tracking. CVPR, 2018.
Kourosh Meshgi, Shigeyuki Oba, Shin Ishii. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Meshgi_Efficient_Diverse_Ensemble_CVPR_2018_paper.pdf)]
* A Twofold Siamese Network for Real-Time Object Tracking. CVPR, 2018.
Anfeng He, Chong Luo, Xinmei Tian, Wenjun Zeng. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/He_A_Twofold_Siamese_CVPR_2018_paper.pdf)]
* Multi-Cue Correlation Filters for Robust Visual Tracking. CVPR, 2018.
Ning Wang, Wengang Zhou, Qi Tian, Richang Hong, Meng Wang, Houqiang Li. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Multi-Cue_Correlation_Filters_CVPR_2018_paper.pdf)]
* Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking. CVPR, 2018.
Qiang Wang, Zhu Teng, Junliang Xing, Jin Gao, Weiming Hu, Stephen Maybank. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_Learning_Attentions_Residual_CVPR_2018_paper.pdf)]
* SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation. CVPR, 2018.
Xiao Wang, Chenglong Li, Bin Luo, Jin Tang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Wang_SINT_Robust_Visual_CVPR_2018_paper.pdf)]
* High-Speed Tracking With Multi-Kernel Correlation Filters. CVPR, 2018.
Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Tang_High-Speed_Tracking_With_CVPR_2018_paper.pdf)]
* Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking. CVPR, 2018.
Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Learning_Spatial-Temporal_Regularized_CVPR_2018_paper.pdf)]
* Learning Spatial-Aware Regressions for Visual Tracking. CVPR, 2018.
Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Sun_Learning_Spatial-Aware_Regressions_CVPR_2018_paper.pdf)]
* High Performance Visual Tracking With Siamese Region Proposal Network. CVPR, 2018.
Bo Li, Junjie Yan, Wei Wu, Zheng Zhu, Xiaolin Hu. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_High_Performance_Visual_CVPR_2018_paper.pdf)]
* VITAL: VIsual Tracking via Adversarial Learning. CVPR, 2018.
Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W.H. Lau, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2018/papers/Song_VITAL_VIsual_Tracking_CVPR_2018_paper.pdf)]
* Distractor-aware Siamese Networks for Visual Object Tracking. ECCV, 2018.
Zheng Zhu, Qiang Wang, Bo Li, Wei Wu, Junjie Yan, Weiming Hu. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Zheng_Zhu_Distractor-aware_Siamese_Networks_ECCV_2018_paper.pdf)]
* Learning Dynamic Memory Networks for Object Tracking. ECCV, 2018.
Tianyu Yang, Antoni B. Chan. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Tianyu_Yang_Learning_Dynamic_Memory_ECCV_2018_paper.pdf)]
* TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild. ECCV, 2018.
Matthias Muller, Adel Bibi, Silvio Giancola, Salman Alsubaihi, Bernard Ghanem. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Matthias_Muller_TrackingNet_A_Large-Scale_ECCV_2018_paper.pdf)]
* Structured Siamese Network for Real-Time Visual Tracking. ECCV, 2018.
Yunhua Zhang, Lijun Wang, Jinqing Qi, Dong Wang, Mengyang Feng, Huchuan Lu. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yunhua_Zhang_Structured_Siamese_Network_ECCV_2018_paper.pdf)]
* Triplet Loss in Siamese Network for Object Tracking. ECCV, 2018.
Xingping Dong, Jianbing Shen. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xingping_Dong_Triplet_Loss_with_ECCV_2018_paper.pdf)]
* Real-time 'Actor-Critic' Tracking. ECCV, 2018.
Boyu Chen, Dong Wang, Peixia Li, Shuang Wang, Huchuan Lu. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Boyu_Chen_Real-time_Actor-Critic_Tracking_ECCV_2018_paper.pdf)]
* Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking. ECCV, 2018.
Yingjie Yao, Xiaohe Wu, Lei Zhang, Shiguang Shan, Wangmeng Zuo. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Yingjie_Yao_Joint_Representation_and_ECCV_2018_paper.pdf)]
* Visual Tracking via Spatially Aligned Correlation Filters Network. ECCV, 2018.
Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Steve Maybank. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/mengdan_zhang_Visual_Tracking_via_ECCV_2018_paper.pdf)]
* Deep Reinforcement Learning with Iterative Shift for Visual Tracking. ECCV, 2018.
Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Liangliang_Ren_Deep_Reinforcement_Learning_ECCV_2018_paper.pdf)]
* Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking. ECCV, 2018.
Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, Liang Wang. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Chenglong_Li_Cross-Modal_Ranking_with_ECCV_2018_paper.pdf)]
* Long-term Tracking in the Wild: a Benchmark. ECCV, 2018.
Jack Valmadre, Luca Bertinetto, Joao F. Henriques, Ran Tao, Andrea Vedaldi, Arnold W.M. Smeulders, Philip H.S. Torr, Efstratios Gavves. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Efstratios_Gavves_Long-term_Tracking_in_ECCV_2018_paper.pdf)]
* Deep Regression Tracking with Shrinkage Loss. ECCV, 2018.
Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Xiankai_Lu_Deep_Regression_Tracking_ECCV_2018_paper.pdf)]
* Unveiling the Power of Deep Tracking. ECCV, 2018.
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg. [[Paper](http://openaccess.thecvf.com/content_ECCV_2018/papers/Goutam_Bhat_Unveiling_the_Power_ECCV_2018_paper.pdf)]
* **2017:**
* Context-Aware Correlation Filter Tracking. CVPR, 2017.
Matthias Mueller, Neil Smith, Bernard Ghanem. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Mueller_Context-Aware_Correlation_Filter_CVPR_2017_paper.pdf)]
* Superpixel-Based Tracking-By-Segmentation Using Markov Chains. CVPR, 2017.
Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Yeo_Superpixel-Based_Tracking-By-Segmentation_Using_CVPR_2017_paper.pdf)]
* Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning. CVPR, 2017.
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Yun_Action-Decision_Networks_for_CVPR_2017_paper.pdf)]
* End-To-End Representation Learning for Correlation Filter Based Tracking. CVPR, 2017.
Jack Valmadre, Luca Bertinetto, Joao Henriques, Andrea Vedaldi, Philip H. S. Torr. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Valmadre_End-To-End_Representation_Learning_CVPR_2017_paper.pdf)]
* Large Margin Object Tracking With Circulant Feature Maps. CVPR, 2017.
Mengmeng Wang, Yong Liu, Zeyi Huang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Wang_Large_Margin_Object_CVPR_2017_paper.pdf)]
* Multi-Task Correlation Particle Filter for Robust Object Tracking. CVPR, 2017.
Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Multi-Task_Correlation_Particle_CVPR_2017_paper.pdf)]
* Attentional Correlation Filter Network for Adaptive Visual Tracking. CVPR, 2017.
Jongwon Choi, Hyung Jin Chang, Sangdoo Yun, Tobias Fischer, Yiannis Demiris, Jin Young Choi. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Choi_Attentional_Correlation_Filter_CVPR_2017_paper.pdf)]
* Robust Visual Tracking Using Oblique Random Forests. CVPR, 2017.
Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Zhang_Robust_Visual_Tracking_CVPR_2017_paper.pdf)]
* Tracking by Natural Language Specification. CVPR, 2017.
Zhenyang Li, Ran Tao, Efstratios Gavves, Cees G. M. Snoek, Arnold W.M. Smeulders. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Tracking_by_Natural_CVPR_2017_paper.pdf)]
* ECO: Efficient Convolution Operators for Tracking. CVPR, 2017.
Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg. [[Paper](http://openaccess.thecvf.com/content_cvpr_2017/papers/Danelljan_ECO_Efficient_Convolution_CVPR_2017_paper.pdf)]
* Learning Policies for Adaptive Tracking With Deep Feature Cascades. ICCV, 2017.
Chen Huang, Simon Lucey, Deva Ramanan. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Learning_Policies_for_ICCV_2017_paper.pdf)]
* Tracking as Online Decision-Making: Learning a Policy From Streaming Videos With Reinforcement Learning. ICCV, 2017.
James Supancic,III, Deva Ramanan. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Supancic_Tracking_as_Online_ICCV_2017_paper.pdf)]
* Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. ICCV, 2017.
Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Galoogahi_Need_for_Speed_ICCV_2017_paper.pdf)]
* Learning Background-Aware Correlation Filters for Visual Tracking. ICCV, 2017.
Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Galoogahi_Learning_Background-Aware_Correlation_ICCV_2017_paper.pdf)]
* Robust Object Tracking Based on Temporal and Spatial Deep Networks. ICCV, 2017.
Zhu Teng, Junliang Xing, Qiang Wang, Congyan Lang, Songhe Feng, Yi Jin. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Teng_Robust_Object_Tracking_ICCV_2017_paper.pdf)]
* Learning Dynamic Siamese Network for Visual Object Tracking. ICCV, 2017.
Qing Guo, Wei Feng, Ce Zhou, Rui Huang, Liang Wan, Song Wang. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Guo_Learning_Dynamic_Siamese_ICCV_2017_paper.pdf)]
* CREST: Convolutional Residual Learning for Visual Tracking. ICCV, 2017.
Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson W. H. Lau, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Song_CREST_Convolutional_Residual_ICCV_2017_paper.pdf)]
* Beyond Standard Benchmarks: Parameterizing Performance Evaluation in Visual Object Tracking. ICCV, 2017.
Luka Cehovin Zajc, Alan Lukezic, Ales Leonardis, Matej Kristan. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Zajc_Beyond_Standard_Benchmarks_ICCV_2017_paper.pdf)]
* Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking. ICCV, 2017.
Heng Fan, Haibin Ling. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Fan_Parallel_Tracking_and_ICCV_2017_paper.pdf)]
* Non-Rigid Object Tracking via Deformable Patches Using Shape-Preserved KCF and Level Sets. ICCV, 2017.
Xin Sun, Ngai-Man Cheung, Hongxun Yao, Yiluan Guo. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Sun_Non-Rigid_Object_Tracking_ICCV_2017_paper.pdf)]
* Learning Policies for Adaptive Tracking With Deep Feature Cascades. ICCV, 2017.
Chen Huang, Simon Lucey, Deva Ramanan. [[Paper](http://openaccess.thecvf.com/content_ICCV_2017/papers/Huang_Learning_Policies_for_ICCV_2017_paper.pdf)]
* **2016:**
* Beyond Local Search: Tracking Objects Everywhere With Instance-Specific Proposals. CVPR, 2016.
Gao Zhu, Fatih Porikli, Hongdong Li. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhu_Beyond_Local_Search_CVPR_2016_paper.pdf)]
* STCT: Sequentially Training Convolutional Networks for Visual Tracking. CVPR, 2016.
Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Wang_STCT_Sequentially_Training_CVPR_2016_paper.pdf)]
* Staple: Complementary Learners for Real-Time Tracking. CVPR, 2016.
Luca Bertinetto, Jack Valmadre, Stuart Golodetz, Ondrej Miksik, Philip H. S. Torr. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Bertinetto_Staple_Complementary_Learners_CVPR_2016_paper.pdf)]
* Siamese Instance Search for Tracking. CVPR, 2016.
Ran Tao, Efstratios Gavves, Arnold W.M. Smeulders. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Tao_Siamese_Instance_Search_CVPR_2016_paper.pdf)]
* Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CVPR, 2016.
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Danelljan_Adaptive_Decontamination_of_CVPR_2016_paper.pdf)]
* Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking. CVPR, 2016.
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Danelljan_Adaptive_Decontamination_of_CVPR_2016_paper.pdf)]
* Recurrently Target-Attending Tracking. CVPR, 2016.
Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Cui_Recurrently_Target-Attending_Tracking_CVPR_2016_paper.pdf)]
* In Defense of Sparse Tracking: Circulant Sparse Tracker. CVPR, 2016.
Tianzhu Zhang, Adel Bibi, Bernard Ghanem. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_In_Defense_of_CVPR_2016_paper.pdf)]
* Object Tracking via Dual Linear Structured SVM and Explicit Feature Map. CVPR, 2016.
Jifeng Ning, Jimei Yang, Shaojie Jiang, Lei Zhang, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Ning_Object_Tracking_via_CVPR_2016_paper.pdf)]
* Learning Multi-Domain Convolutional Neural Networks for Visual Tracking. CVPR, 2016.
Hyeonseob Nam, Bohyung Han. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Nam_Learning_Multi-Domain_Convolutional_CVPR_2016_paper.pdf)]
* Hedged Deep Tracking. CVPR, 2016.
Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Qi_Hedged_Deep_Tracking_CVPR_2016_paper.pdf)]
* Target Response Adaptation for Correlation Filter Tracking. ECCV, 2016.
Adel Bibi, Matthias Mueller, Bernard Ghanem.
* Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking. ECCV, 2016.
Martin Danelljan, Andreas Robinson, Fahad Khan, Michael Felsberg.
* Structural Correlation Filter for Robust Visual Tracking. CVPR, 2016.
Si Liu, Tianzhu Zhang, Xiaochun Cao, Changsheng Xu. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Liu_Structural_Correlation_Filter_CVPR_2016_paper.pdf)]
* Visual Tracking Using Attention-Modulated Disintegration and Integration. CVPR, 2016.
Jongwon Choi, Hyung Jin Chang, Jiyeoup Jeong, Yiannis Demiris, Jin Young Choi. [[Paper](http://openaccess.thecvf.com/content_cvpr_2016/papers/Choi_Visual_Tracking_Using_CVPR_2016_paper.pdf)]
* A Benchmark and Simulator for UAV Tracking. ECCV, 2016.
Matthias Mueller, Bernard Ghanem, Neil Smith.
* Distractor-supported single target tracking in extremely cluttered scenes. ECCV, 2016.
Jingjing Xiao, Linbo Qiao, Rustam Stolkin, leš Leonardis.
* Real-Time Visual Tracking: Promoting the Robustness of Correlation Filter Learning. ECCV, 2016.
Yao Sui, Ziming Zhang, Guanghui Wang, Yafei Tang, Li Zhang.
* **2015:**
* Structural Sparse Tracking. CVPR, 2015.
Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Zhang_Structural_Sparse_Tracking_2015_CVPR_paper.pdf)]
* Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches. CVPR, 2015.
Yang Li, Jianke Zhu, Steven C.H. Hoi. [[Paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Li_Reliable_Patch_Trackers_2015_CVPR_paper.pdf)]
* MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking. CVPR, 2015.
Zhibin Hong, Zhe Chen, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao. [[Paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Hong_MUlti-Store_Tracker_MUSTer_2015_CVPR_paper.pdf)]
* In Defense of Color-Based Model-Free Tracking. CVPR, 2015.
Horst Possegger, Thomas Mauthner, Horst Bischof. [[Paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Possegger_In_Defense_of_2015_CVPR_paper.pdf)]
* JOTS: Joint Online Tracking and Segmentation. CVPR, 2015.
Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Wen_JOTS_Joint_Online_2015_CVPR_paper.pdf)]
* Clustering of Static-Adaptive Correspondences for Deformable Object Tracking. CVPR, 2015.
Georg Nebehay, Roman Pflugfelder. [[Paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Nebehay_Clustering_of_Static-Adaptive_2015_CVPR_paper.pdf)]
* Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters. CVPR, 2015.
Ting Liu, Gang Wang, Qingxiong Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Liu_Real-Time_Part-Based_Visual_2015_CVPR_paper.pdf)]
* Multihypothesis Trajectory Analysis for Robust Visual Tracking. CVPR, 2015.
Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim. [[Paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Lee_Multihypothesis_Trajectory_Analysis_2015_CVPR_paper.pdf)]
* Long-Term Correlation Tracking. CVPR, 2015.
Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_cvpr_2015/papers/Ma_Long-Term_Correlation_Tracking_2015_CVPR_paper.pdf)]
* Discriminative Low-Rank Tracking. ICCV, 2015.
Yao Sui, Yafei Tang, Li Zhang. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Sui_Discriminative_Low-Rank_Tracking_ICCV_2015_paper.pdf)]
* SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking. ICCV, 2015.
Han-Ul Kim, Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Kim_SOWP_Spatially_Ordered_ICCV_2015_paper.pdf)]
* Multi-Kernel Correlation Filter for Visual Tracking. ICCV, 2015.
Ming Tang, Jiayi Feng. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Tang_Multi-Kernel_Correlation_Filter_ICCV_2015_paper.pdf)]
* Tracking-by-Segmentation With Online Gradient Boosting Decision Tree. ICCV, 2015.
Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Son_Tracking-by-Segmentation_With_Online_ICCV_2015_paper.pdf)]
* Exploring Causal Relationships in Visual Object Tracking. ICCV, 2015.
Karel Lebeda, Simon Hadfield, Richard Bowden. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Lebeda_Exploring_Causal_Relationships_ICCV_2015_paper.pdf)]
* Hierarchical Convolutional Features for Visual Tracking. ICCV, 2015.
Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Hierarchical_Convolutional_Features_ICCV_2015_paper.pdf)]
* Online Object Tracking With Proposal Selection. ICCV, 2015.
Yang Hua, Karteek Alahari, Cordelia Schmid. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Hua_Online_Object_Tracking_ICCV_2015_paper.pdf)]
* Understanding and Diagnosing Visual Tracking Systems. ICCV, 2015.
Naiyan Wang, Jianping Shi, Dit-Yan Yeung, Jiaya Jia. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Wang_Understanding_and_Diagnosing_ICCV_2015_paper.pdf)]
* Visual Tracking With Fully Convolutional Networks. ICCV, 2015.
Lijun Wang, Wanli Ouyang, Xiaogang Wang, Huchuan Lu. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Wang_Visual_Tracking_With_ICCV_2015_paper.pdf)]
* Multiple Feature Fusion via Weighted Entropy for Visual Tracking. ICCV, 2015.
Lin Ma, Jiwen Lu, Jianjiang Feng, Jie Zhou. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Multiple_Feature_Fusion_ICCV_2015_paper.pdf)]
* Local Subspace Collaborative Tracking. ICCV, 2015.
Lin Ma, Xiaoqin Zhang, Weiming Hu, Junliang Xing, Jiwen Lu, Jie Zhou. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Local_Subspace_Collaborative_ICCV_2015_paper.pdf)]
* Learning Spatially Regularized Correlation Filters for Visual Tracking. ICCV, 2015.
Martin Danelljan, Gustav Hager, Fahad Shahbaz Khan, Michael Felsberg. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Danelljan_Learning_Spatially_Regularized_ICCV_2015_paper.pdf)]
* TRIC-track: Tracking by Regression With Incrementally Learned Cascades. ICCV, 2015.
Xiaomeng Wang, Michel Valstar, Brais Martinez, Muhammad Haris Khan, Tony Pridmore. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Wang_TRIC-track_Tracking_by_ICCV_2015_paper.pdf)]
* Linearization to Nonlinear Learning for Visual Tracking. ICCV, 2015.
Bo Ma, Hongwei Hu, Jianbing Shen, Yuping Zhang, Fatih Porikli. [[Paper](http://openaccess.thecvf.com/content_iccv_2015/papers/Ma_Linearization_to_Nonlinear_ICCV_2015_paper.pdf)]
* **2014:**
* Adaptive Color Attributes for Real-Time Visual Tracking. CVPR, 2014.
Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg, Joost van de Weijer. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Danelljan_Adaptive_Color_Attributes_2014_CVPR_paper.pdf)[
* Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation. CVPR, 2014.
Xiangyuan Lan, Andy J. Ma, Pong C. Yuen. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Lan_Multi-Cue_Visual_Tracking_2014_CVPR_paper.pdf)]
* Multi-Forest Tracker: A Chameleon in Tracking. CVPR, 2014.
David J. Tan, Slobodan Ilic. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Tan_Multi-Forest_Tracker_A_2014_CVPR_paper.pdf)]
* Pyramid-based Visual Tracking Using Sparsity Represented Mean Transform. CVPR, 2014.
Zhe Zhang, Kin Hong Wong. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Zhang_Pyramid-based_Visual_Tracking_2014_CVPR_paper.pdf)]
* Partial Occlusion Handling for Visual Tracking via Robust Part Matching. CVPR, 2014.
Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Zhang_Partial_Occlusion_Handling_2014_CVPR_paper.pdf)]
* Speeding Up Tracking by Ignoring Features. CVPR, 2014.
Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Zhang_Speeding_Up_Tracking_2014_CVPR_paper.pdf)]
* Online Object Tracking, Learning and Parsing with And-Or Graphs. CVPR, 2014.
Yang Lu, Tianfu Wu, Song Chun Zhu. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Lu_Online_Object_Tracking_2014_CVPR_paper.pdf)]
* Visual Tracking via Probability Continuous Outlier Model. CVPR, 2014.
Dong Wang, Huchuan Lu. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Wang_Visual_Tracking_via_2014_CVPR_paper.pdf)]
* Visual Tracking Using Pertinent Patch Selection and Masking. CVPR, 2014.
Dae-Youn Lee, Jae-Young Sim, Chang-Su Kim. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Lee_Visual_Tracking_Using_2014_CVPR_paper.pdf)]
* Interval Tracker: Tracking by Interval Analysis. CVPR, 2014.
Junseok Kwon, Kyoung Mu Lee. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Kwon_Interval_Tracker_Tracking_2014_CVPR_paper.pdf)]
* Unifying Spatial and Attribute Selection for Distracter-Resilient Tracking. CVPR, 2014.
Nan Jiang, Ying Wu. [[Paper](http://openaccess.thecvf.com/content_cvpr_2014/papers/Jiang_Unifying_Spatial_and_2014_CVPR_paper.pdf)]
* Visual Tracking by Sampling Tree-Structured Graphical Models. ECCV, 2014.
Seunghoon Hong, Bohyung Han.
* Description-Discrimination Collaborative Tracking. ECCV, 2014.
Dapeng Chen, Zejian Yuan,Gang Hua, Yang Wu, Nanning Zheng.
* Online, Real-Time Tracking using a Category-to-Individual Detector. ECCV, 2014.
David Hall, Pietro Perona.
* Robust Visual Tracking with Double Bounding Box Model. ECCV, 2014.
Junseok Kwon, Junha Roh, Kyoung Mu Lee, Luc Van Gool.
* Transfer Learning Based Visual Tracking with Gaussian Process Regression. ECCV, 2014.
Jin Gao, Haibin Ling, Weiming Hu, Junliang Xing.
* Online Graph-Based Tracking. ECCV, 2014.
Hyeonseob Nam , Seunghoon Hong, Bohyung Han.
* Fast Visual Tracking via Dense Spatio-Temporal Context Learning. ECCV, 2014.
Kaihua Zhang, Lei Zhang, Qingshan Liu, David Zhang, Ming-Hsuan Yang.
* Extended Lucas-Kanade Tracking. ECCV, 2014.
Shaul Oron, Aharon Bar-Hillel, Shai Avidan.
* Appearances can be deceiving: Learning visual tracking from few trajectory annotations. ECCV, 2014.
Santiago Manen, Junseok Kwon, Matthieu Guillaumin, Luc Van Gool.
* Tracking using Multilevel Quantizations. ECCV, 2014.
Zhibin Hong, Chaohui Wang, Xue Mei, Danil Prokhorov, Dacheng Tao.
* Occlusing and Motion Reasoning for Long-term Tracking. ECCV, 2014.
Yang Hua, Karteek Alahari, Cordelia Schmid.
* MEEM: Robust Tracking via Multiple Experts using Entropy Minimization. ECCV, 2014.
Jianming Zhang, Shugao Ma, Stan Sclaroff.
* A Superior Tracking Approach: Building a strong Tracker through Fusion. ECCV, 2014.
Christian Bailer, Alain Pagani, Didier Stricker.
* **2013:**
* Visual Tracking via Locality Sensitive Histograms. CVPR, 2013.
Shengfeng He, Qingxiong Yang, Rynson W.H. Lau, Jiang Wang, Ming-Hsuan Yang.
* Online Object Tracking: A Benchmark. CVPR, 2013.
Yi Wu, Jongwoo Lim, Ming-Hsuan Yang.
* Learning Compact Binary Codes for Visual Tracking. CVPR, 2013.
Xi Li, Chunhua Shen, Anthony Dick, Anton van den Hengel.
* Least Soft-Threshold Squares Tracking. CVPR, 2013.
Dong Wang, Huchuan Lu, Ming-Hsuan Yang.
* Part-Based Visual Tracking with Online Latent Structural Learning. CVPR, 2013.
Rui Yao, Qinfeng Shi, Chunhua Shen, Yanning Zhang, Anton van den Hengel.
* Minimum Uncertainty Gap for Robust Visual Tracking. CVPR, 2013.
Junseok Kwon, Kyoung Mu Lee.
* Structure Preserving Object Tracking. CVPR, 2013.
Lu Zhang, Laurens van der Maaten.
* Self-Paced Learning for Long-Term Tracking. CVPR, 2013.
James S. Supancic III, Deva Ramanan.
* Tracking via Robust Multi-task Multi-view Joint Sparse Representation. ICCV, 2013.
Zhibin Hong, Xue Mei, Danil Prokhorov, Dacheng Tao.
* Online Robust Non-negative Dictionary Learning for Visual Tracking. ICCV, 2013.
Naiyan Wang, Jingdong Wang, Dit-Yan Yeung.
* Robust Object Tracking with Online Multi-lifespan Dictionary Learning. ICCV, 2013.
Junliang Xing, Jin Gao, Bing Li, Weiming Hu, Shuicheng Yan.
* Finding the Best from the Second Bests - Inhibiting Subjective Bias in Evaluation of Visual Tracking Algorithms. ICCV, 2013.
Yu Pang, Haibin Ling.
* PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects. ICCV, 2013.
Stefan Duffner, Christophe Garcia.
* Discriminant Tracking Using Tensor Representation with Semi-supervised Improvement.ICCV, 2013.
Jin Gao, Junliang Xing, Weiming Hu, Steve Maybank.
* Initialization-Insensitive Visual Tracking through Voting with Salient Local Features. ICCV, 2013.
Kwang Moo Yi, Hawook Jeong, Byeongho Heo, Hyung Jin Chang, Jin Young Choi.
* Randomized Ensemble Tracking. ICCV, 2013.
Qinxun Bai, Zheng Wu, Stan Sclaroff, Margrit Betke, Camille Monnier.
* Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines. ICCV, 2013.
Shuran Song, Jianxiong Xiao.
* Modeling Self-Occlusions in Dynamic Shape and Appearance Tracking. ICCV, 2013.
Yanchao Yang, Ganesh Sundaramoorthi.
* Orderless Tracking through Model-Averaged Posterior Estimation. ICCV, 2013.
Seunghoon Hong, Suha Kwak, Bohyung Han.
* **Before 2013:**
* **Survey & Book:**
* Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends. ACM CS, 2019.
Mustansar Fiaz, Arif Mahmood, Sajid Javed, Soon Ki Jung.
* Online Visual Tracking. Springer, 2019.
Huchuan Lu, Dong Wang.
* Deep Visual Tracking: Review and Experimental Comparison. PR, 2018.
Peixia Li, Dong Wang, Lijun Wang, Huchuan Lu.
* Visual Tracking: An Experimental Survey. IEEE TPAMI, 2014.
Arnold W. M. Smeulders, Dung Manh Chu, Rita Cucchiara, Simone Calderara, Afshin Dehghan, Mubarak Shah.
* A Survey of Appearance Models in Visual Object Tracking. ACM TIST, 2013.
Xi Li, Weiming Hu, Chunhua Shen, Zhongfei Zhang, Anthony R. Dick, Anton van den Hengel.
* Object Tracking: A Survey. ACM CS, 2006.
Alper Yilmaz, Omar Javed, Mubarak Shah.
* **Resources:**
* [TracKit[Microsoft]](https://github.com/researchmm/TracKit)：https://github.com/researchmm/TracKit
* [pytracking[visionml]](https://github.com/visionml/pytracking)：https://github.com/visionml/pytracking
* [pysot[STVIR]](https://github.com/STVIR/pysot)：https://github.com/STVIR/pysot
* [pysot-toolkit](https://github.com/StrangerZhang/pysot-toolkit)：https://github.com/StrangerZhang/pysot-toolkit
* [SOT-MOT-Comparision](https://github.com/JudasDie/Comparision)：https://github.com/JudasDie/Comparision
* [SiamTrackers](https://github.com/HonglinChu/SiamTrackers)：https://github.com/HonglinChu/SiamTrackers
* [CFTrackers](https://github.com/HonglinChu/CFTrackers)：https://github.com/HonglinChu/CFTrackers
* [Single-Object-Tracking-Paper-List](https://github.com/wangxiao5791509/Single_Object_Tracking_Paper_List)：https://github.com/wangxiao5791509/Single_Object_Tracking_Paper_List
* [Benchmark-Results](https://github.com/foolwood/benchmark_results)：https://github.com/foolwood/benchmark_results
* **Online Reports[Chinese]:**
* [基于计算机视觉的目标跟踪算法概览(早期算法)](https://www.bilibili.com/video/BV1ex411m7Ty): https://www.bilibili.com/video/BV1ex411m7Ty
* [从零开始的单目标跟踪算法世界(pytracking为主)](https://www.bilibili.com/video/BV1WK4y1C7JG)：https://www.bilibili.com/video/BV1WK4y1C7JG