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[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
The main features of cmhungsteve/sstda are: Video Domain Adaptation.
Projects with overlapping indexed features include: avijit9/cleanadapt — Code for our Source-free Unsupervised Video Domain Adaptation Paper. 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.
Code for our Source-free Unsupervised Video Domain Adaptation Paper
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)