# 同学帮-文档-代码

**Repository Path**: swjtugx/classmate

## Basic Information

- **Project Name**: 同学帮-文档-代码
- **Description**: 同学帮/视觉系 计算机视觉视觉算法源码及文档
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 158
- **Forks**: 65
- **Created**: 2020-02-28
- **Last Updated**: 2025-07-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

 _强调_ #  **同学帮-文档-代码**  **Classmates-doc-codes** 

![header](./bg.jpg)

#### 介绍 (Introduction)
  本库是 **B站** [同学帮/视觉系](https://space.bilibili.com/202603446) 计算机视觉视觉算法视频配套 `源码及文档`
`同学帮助同学`
This library contains source code and documents for our academic videos, 
which are focus on the fields of `Computer Vision`, `Pattern Recognition` and `Deep Learning`
Please click on [classmates/CV Department](https://space.bilibili.com/202603446) to see our videos.

本站是团队成员（计算机专业、人工智能方向的研究生）内部交流及对外知识共享，由同学们的视角理解算法并动手实验。
Our code is for internal communication among team members and knowledge sharing for those who are intereted in. 
Our purpose is for better understanding of AI algorithm, from the perspective and experiments of our postgraduated students.

部分代码是我们团队成员自己编写，部分来源于其它网站，如果有侵犯到您的权益，请和我们联系，我们将会进行删除。
Some of the code are from us, some of the code comes from open source on the Internet.
If there is any violation of your rights and intellectual property, please contact us to remove it.

*本站代码仅用于学习，用于它用请联系我们*
*Our code is for learning only, please contact us before using it for other purposes*

### 算法列表(Algorithms)
* [团队论文, Papers of Our Group](./OurGroup)
  * (TCSVT 2025)[基于CLIP的相机无关特征学习的相机内监督行人重识别,CLIP-based Camera-Agnostic Feature Learning for Intra-camera Supervised Person Re-Identification](./OurGroup/CCAFL)
  * (AAAI 2025)[面向Close-set噪声的人脸识别方法框架, RepFace Refining Closed-Set Noise with Progressive Label Correction for Face Recognition](./OurGroup/RepFace)
  * (ICASSP 2025)[基于概念发现的超声图像可解释性框架, Framework for Explainability of Ultrasound Image Based on Concept Discovery](./OurGroup/LCE-2025)
  * (TCSVT 2024)[相机内监督行人重识别,Contrastive Mean Teacher for Intra-camera Supervised Person Re-Identification](./OurGroup/CMT)
  * (CBIM 2024)[在缺失标签的多中心分析中优化基于 EUS 的 GISTs 诊断的数据金字塔结构,Data pyramid structure for optimizing EUS-based GISTs diagnosis in multi-center analysis with missing label](./OurGroup/DPS-2024)
  * (BIBM 2024)[Tri-VQA：多属性分析中的三角推理医学视觉问答,Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis](./OurGroup/Tri-VQA)  
  * (AAAI 2023) [基于位置标签的ViT, Positional Label for Self-Supervised Vision Transformer](./OurGroup/PositionalLabel)
  * (APIN 2023) [非对称信息正则学习的基于骨架行为识别 AIR-GCN](./OurGroup/AIR-GCN)
  * (UMB 2023) [跨场景超声影像诊断中的无监督领域自适应学习方法 General multi-scenario ultrasound image tumor diagnosis method based on unsupervised domain adaptation](./OurGroup/2D-FSN)
  * (ICME 2023) [SDGFormer: An Efficient Convolution Network Structurally Similar to Transformer](./OurGroup/SDGFormer)
  * (SPL 2023) [面向骨架行为识别的多粒度时间分割注意力机制，Multi-Grained Temporal Segmentation Attention Modeling for Skeleton-Based Action Recognition](./OurGroup/MTS-Former)
  * (SPL 2023) [旋转+掩模图像建模——自监督学习, Rotated and Masked Image Modeling](./OurGroup/RotMIM)
  * (AJCAI 2023) [基于部件感知和原型对齐的可解释性细粒度分类, Part-Aware Prototype-Aligned Interpretable Image Classification with Basic Feature Domain](./OurGroup/PaProtoPNet_code)
  * (ECCV 2022) [BoundaryFace: A mining framework with noise label self-correction  for Face Recognition](./OurGroup/BoundaryFace)
  * (NCAA 2022) [DSF-Net:Occluded Person Re-identification Based on Dual Structure Features](./OurGroup/DSF_Net)
  * (SPL 2022) [Dynamic Channel-Aware Subgraph Interactive Networks for Skeleton-Based Action Recognition](./OurGroup/DCA-SGIN)   
  * (Neurocomputing 2022) [Asymmetric Semi-supervised GAN for Breast Ultrasound Image Segmentation](./OurGroup/ASSGAN)   
  * [基于形状约束及困难样本挖掘的超声图像分类, Classification method for samples that are easy to be confused in breast ultrasound images](./OurGroup/HardSample)
  * [超声双模态数据的协同约束网络, A cooperative suppression network for bimodal data in breast cancer classification](./OurGroup/DualBranch)


* [卷积神经网络基础入门实验, Introduction of CNN with Tensorflow](./CNN_Basic)
* [OpenPose: Part Affinity Fields (PAFs)](./PAFs)
* [匈牙利算法, Hungarian algorithm](./Hungary)
* [一种大规模图像检索算法--基于深度局部主注意力特征 Large-Scale Image Retrieval with Attentive Deep Local Features](./DELF)
* [Batch Normlization of CNN](./BatchNormlization)
* [单图像超分辨率重建SRCNN, Single image super resolution reconstruction--SRCNN](./SRCNN)
* [华为云平台ModelArts入门, Introduction of ModelArts](./ModelArts)
* [决策树算法, Decision Tree](./DecisionTree)
* 视频流相关算法, Feature learning for video streams
   * [双流法的融合, Feature fusion methods for two streams](./VideoStream/TwoStreamFusion)
   * [P3D, Pseudo-3D Residual Networks](./VideoStream/P3D)
   * [行为识别, Action recognition with attention](./VideoStream/Action_Recog)
   * [行为识别, Temporal Pyramid Network for Action Recognition](./VideoStream/TPN)
* 目标检测、跟踪, Object detection & tracking
   * [FasterRCNN](./ObjDetection/FasterRCNN)
   * [MaskRCNN](./ObjDetection/MaskRCNN)
   * [用于视频对象检测的内存增强的全局-本地聚合 MEGA for VOD](./ObjDetection/MEGAforVOD)
   * [CornerNet——基于关键点的目标检测, Object detection based on key points](./CornerNet)
   * [Yolo](./ObjDetection)
   * [PG-Net](./ObjDetection/Tracking)
* 行人重识别专辑, Person Re-ID
   * [MGN: Multi-granularities for Re-ID](./Re-ID/MGN)
   * [EANet:Enhancing Alignment for Cross-Domain Re-ID](./Re-ID/EANet)
   * [IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID](./Re-ID/IDM)
* 人脸识别专辑, Face Recogntion
   * [ArcFace, insight face](./FaceRecogntion)
   * [人脸识别算法发展2022年5月](./FaceRecogntion)
* 非监督学习, UnSupervised Learning
   * [Joint Weakly and Semi-Supervised Breast Ultrasound](./Semi-supervised/JointWeakly)
   * [basic ideas of self-supervised learning](./Semi-supervised/SelfSupervised)
   * [Improving Unsupervised Image Clustering With Robust Learning](./Semi-supervised/UnSupervised)
* 生成对抗网络,Generative Adversarial Networks(./GAN)
* 图像分割，Image Segmentation(./Segmentation)
* Transformer
   * [Introduction of ViT](./Transformer)
   * [Tokens-to-Token ViT](./Transformer)
* 少样本学习 few-shot learning
   * [面向小样本学习的自我训练Self-training for Few-shot Transfer Across Extreme Task Differences](./Few-shot)
* 其它技术、工具等, miscellaneous subjects
   * [Annotation/Label tools for images and videos](./Others/annotationTool)