Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add UNITE paper from CVPR 2024 #171

Open
wants to merge 3 commits into
base: master
Choose a base branch
from
Open

Add UNITE paper from CVPR 2024 #171

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
0e475be
Update README.md
reddyav1 Dec 24, 2024
cf2342a
Update README.md
reddyav1 Dec 24, 2024
eae49d8
Update README.md
reddyav1 Dec 24, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -280,6 +280,7 @@ Label Shift CO-ALignment [[23 Oct 2019]](https://arxiv.org/abs/1910.10320)


### Self-training-Based Methods
- Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training (UNITE) [[CVPR 2024]](https://arxiv.org/abs/2312.02914) [[PyTorch]](https://github.com/reddyav1/unite)
- Cycle Self-Training for Domain Adaptation [[NeurIPS2021]](https://proceedings.neurips.cc/paper/2021/hash/c1fea270c48e8079d8ddf7d06d26ab52-Abstract.html)
- Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark [[ICCV Workshop 2021]](https://arxiv.org/abs/2108.10840) [[Pytorch]](https://github.com/bupt-ai-cz/Meta-SelfLearning)
- Instance Adaptive Self-Training for Unsupervised Domain Adaptation [[ECCV 2020]](https://arxiv.org/abs/2008.12197) [[Pytorch]](https://github.com/bupt-ai-cz/IAST-ECCV2020)
Expand Down Expand Up @@ -1017,6 +1018,7 @@ segmentation [[CVPR2018]](http://openaccess.thecvf.com/content_cvpr_2018/papers/
### Video Domain Adaptation

**Conference**
- Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training (UNITE) [[CVPR 2024]](https://arxiv.org/abs/2312.02914) [[PyTorch]](https://github.com/reddyav1/unite)
- Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation [[ICVGIP'22]] (https://dl.acm.org/doi/abs/10.1145/3571600.3571621) [Pytorch]](https://github.com/avijit9/CleanAdapt) [[Project]] (https://avijit9.github.io/CleanAdapt/) [[Extended Version]] (https://arxiv.org/abs/2311.18572)
- Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition [[ECCV2022]](https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136940144.pdf) [[Pytorch]](https://github.com/xuyu0010/ATCoN) [[Project]](https://xuyu0010.github.io/sfvda.html)
- Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing [[NeurIPS2021]](https://arxiv.org/pdf/2110.15128.pdf)
Expand Down