https://github.com/gaomingqi/vos-review
Datasets and Papers (with codes) discussed in "Deep Learning for Video Object Segmentation: A Review", Artificial Intelligence Review, 2023.
https://github.com/gaomingqi/vos-review
deep-learning paper survey video-object-segmentation vos
Last synced: 5 months ago
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Datasets and Papers (with codes) discussed in "Deep Learning for Video Object Segmentation: A Review", Artificial Intelligence Review, 2023.
- Host: GitHub
- URL: https://github.com/gaomingqi/vos-review
- Owner: gaomingqi
- Created: 2021-09-01T16:17:05.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2023-10-30T11:08:53.000Z (over 2 years ago)
- Last Synced: 2025-06-26T04:36:00.079Z (about 1 year ago)
- Topics: deep-learning, paper, survey, video-object-segmentation, vos
- Homepage:
- Size: 86.9 KB
- Stars: 52
- Watchers: 3
- Forks: 4
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## [Deep Learning for Video Object Segmentation: A Review](https://link.springer.com/content/pdf/10.1007/s10462-022-10176-7.pdf)
This repo collects Deep Learning-based Video Object Segmentation works discussed in the paper:
>Deep learning for video object segmentation: a review. 2023. [[paper](https://link.springer.com/content/pdf/10.1007/s10462-022-10176-7.pdf)]
- [Section 3. Datasets](https://github.com/gaomingqi/VOS-Review/blob/master/Sections/Section_3_Datasets.md)
- [Section 4.1. Online Fine-tuning-based VOS Methods](https://github.com/gaomingqi/VOS-Review/blob/master/Sections/Section_4_1_Online_methods.md)
- [Section 4.2. Feature Matching-based VOS Methods](https://github.com/gaomingqi/VOS-Review/blob/master/Sections/Section_4_2_Matching_methods.md)
- [Section 4.3. Graph Optimisation-based VOS Methods](https://github.com/gaomingqi/VOS-Review/blob/master/Sections/Section_4_3_Graph_methods.md)
- [Section 4.4. Optical Flow-based VOS Methods](https://github.com/gaomingqi/VOS-Review/blob/master/Sections/Section_4_4_Optical_flow_methods.md)
- [Section 4.5. Mask Propagation-based VOS Methods](https://github.com/gaomingqi/VOS-Review/blob/master/Sections/Section_4_5_Mask_Prop_methods.md)
- [Section 4.6. Long-term Propagation-based VOS Methods](https://github.com/gaomingqi/VOS-Review/blob/master/Sections/Section_4_6_Long_Prop.md)
### :star2: [Awesome VOS Works](https://github.com/gaomingqi/awesome-video-object-segmentation) :star2:
We also collect [VOS papers and datasets](https://github.com/gaomingqi/awesome-video-object-segmentation) proposed after the review and will continuously update the list.
If you find our review and repository useful for your research, please consider citing the paper:
```bibtex
@article{gao2023deep,
title={Deep learning for video object segmentation: a review},
author={Gao, Mingqi and Zheng, Feng and Yu, James JQ and Shan, Caifeng and Ding, Guiguang and Han, Jungong},
journal={Artificial Intelligence Review},
volume={56},
number={1},
pages={457--531},
year={2023},
publisher={Springer}
}
```