# IBM_VizWiz
**Repository Path**: mirrors_ibm/IBM_VizWiz
## Basic Information
- **Project Name**: IBM_VizWiz
- **Description**: Resources related to our winning entry to the 2020 VizWiz Grand Challenge.
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-23
- **Last Updated**: 2025-09-21
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# Winning Entry to the 2020 VizWiz Grand Challenge
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge.
This repository contains resources related to our work on the [VizWiz 2020 Image Captioning](https://vizwiz.org/tasks-and-datasets/image-captioning/) challenge. You can find details of our work in [this paper](https://arxiv.org/abs/2012.11696), and also in [this blog post](https://www.ibm.com/blogs/research/2020/07/image-captioning-assistive-technology/).
***
## Resources
### Multimodal Assistive Captioner System

#### Real-Time Demo (Video Length: ~2 mins)
#### Presentation (Video Length: ~5 mins)
***
## Citations
If you find the work useful, please consider citing the following articles.
```
@misc{dognin2020image,
title={Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge},
author={Pierre Dognin and Igor Melnyk and Youssef Mroueh and Inkit Padhi and Mattia Rigotti and Jarret Ross and Yair Schiff and Richard A. Young and Brian Belgodere},
year={2020},
eprint={2012.11696},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```
```
@misc{dognin2020alleviating,
title={Alleviating Noisy Data in Image Captioning with Cooperative Distillation},
author={Pierre Dognin and Igor Melnyk and Youssef Mroueh and Inkit Padhi and Mattia Rigotti and Jarret Ross and Yair Schiff},
year={2020},
eprint={2012.11691},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```