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Repository for ECCV 2022 paper "Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition"
The main features of xuyu0010/atcon are: Source Free Domain Adaptation, Video Domain Adaptation.
Projects with overlapping indexed features include: avijit9/cleanadapt — Code for our Source-free Unsupervised Video Domain Adaptation Paper. cmhungsteve/sstda — [CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch). davidpengucf/rain — python == 3.6.8 - pytorch ==1.1.0 - torchvision == 0.3.0 - numpy, scipy, sklearn, PIL, argparse, tqdm. davidpengucf/sfdahpe — python == 3.6.8 - pytorch ==1.1.0 - torchvision == 0.3.0 - numpy, scipy, sklearn, PIL, argparse, tqdm. driptarc/decision — Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral). albert0147/g-sfda — code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'.
Code for our Source-free Unsupervised Video Domain Adaptation Paper
CVPR 2020 Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)
python == 3.6.8 - pytorch ==1.1.0 - torchvision == 0.3.0 - numpy, scipy, sklearn, PIL, argparse, tqdm
code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'