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python == 3.6.8 - pytorch ==1.1.0 - torchvision == 0.3.0 - numpy, scipy, sklearn, PIL, argparse, tqdm
python == 3.6.8 - pytorch ==1.1.0 - torchvision == 0.3.0 - numpy, scipy, sklearn, PIL, argparse, tqdm
Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)
code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
The main features of tim-learn/shot are: Source Free Domain Adaptation.
Projects with overlapping indexed features include: 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). haifengxia/sfda. jxhuang0508/hcl — <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021. albert0147/g-sfda — code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'.