gaomingqi/VOS-Review

Datasets and Papers (with codes) discussed in "Deep Learning for Video Object Segmentation: A Review", Artificial Intelligence Review, 2023.

Deep Learning for Video Object Segmentation: A Review

This repo collects Deep Learning-based Video Object Segmentation works discussed in the paper:

Deep learning for video object segmentation: a review. 2023. [paper]

• Section 3. Datasets

• Section 4.1. Online Fine-tuning-based VOS Methods

• Section 4.2. Feature Matching-based VOS Methods

• Section 4.3. Graph Optimisation-based VOS Methods

• Section 4.4. Optical Flow-based VOS Methods

• Section 4.5. Mask Propagation-based VOS Methods

• Section 4.6. Long-term Propagation-based VOS Methods

🌟 Awesome VOS Works 🌟

We also collect VOS papers and datasets 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:

@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}
}