How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
CVPR 2020 Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
NeurIPS 2023 Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective
ICCV 2019 Oral TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
CVPR 2024 Code for UNITE, an unsupervised approach for video domain adaptation (https://arxiv.org/abs/2312.02914)
Code for our Source-free Unsupervised Video Domain Adaptation Paper
The main features of avijit9/cleanadapt are: Video Domain Adaptation.
Projects with overlapping indexed features include: cmhungsteve/sstda — [CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch). ldkong1205/transvae — [NeurIPS 2023] Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. olivesgatech/ta3n — [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo). reddyav1/unite — [CVPR 2024] Code for UNITE, an unsupervised approach for video domain adaptation (https://arxiv.org/abs/2312.02914). xuyu0010/atcon — Repository for ECCV 2022 paper "Source-free Video Domain Adaptation by Learning Temporal Consistency for Action… xuyu0010/awesome-video-domain-adaptation — A comprehensive collection of awesome research and other items about video domain adaptation.