From 0e475be40769be1ca1758cb361a763e2d59a8af7 Mon Sep 17 00:00:00 2001 From: Arun Reddy <72093042+reddyav1@users.noreply.github.com> Date: Mon, 23 Dec 2024 20:42:02 -0500 Subject: [PATCH 1/3] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 7b0b75b..26058f1 100644 --- a/README.md +++ b/README.md @@ -1017,6 +1017,7 @@ 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) From cf2342aa192cd386f9dec73ecc8ea96400b00e45 Mon Sep 17 00:00:00 2001 From: Arun Reddy <72093042+reddyav1@users.noreply.github.com> Date: Mon, 23 Dec 2024 20:42:39 -0500 Subject: [PATCH 2/3] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 26058f1..be68696 100644 --- a/README.md +++ b/README.md @@ -1017,7 +1017,7 @@ 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) +- 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) From eae49d8695d270e89751913c863e70861e7ce442 Mon Sep 17 00:00:00 2001 From: Arun Reddy <72093042+reddyav1@users.noreply.github.com> Date: Mon, 23 Dec 2024 20:45:01 -0500 Subject: [PATCH 3/3] Update README.md --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index be68696..ebc1c2c 100644 --- a/README.md +++ b/README.md @@ -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)