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tim-learn avatar

tim-learn/SHOT

0
View on GitHub↗
493 stars·81 forks·Python·MIT·9 views

SHOT

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

Features

  • Source Free Domain Adaptation - Hypothesis transfer for unsupervised adaptation without source data.

Star history

Star history chart for tim-learn/shotStar history chart for tim-learn/shot

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.

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Projects sharing features with SHOT

These projects share indexed features with SHOT. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • davidpengucf/raindavidpengucf avatar

    davidpengucf/RAIN

    2View on GitHub↗

    python == 3.6.8 - pytorch ==1.1.0 - torchvision == 0.3.0 - numpy, scipy, sklearn, PIL, argparse, tqdm

    Python
    View on GitHub↗2
  • davidpengucf/sfdahpedavidpengucf avatar

    davidpengucf/SFDAHPE

    11View on GitHub↗

    python == 3.6.8 - pytorch ==1.1.0 - torchvision == 0.3.0 - numpy, scipy, sklearn, PIL, argparse, tqdm

    Python
    View on GitHub↗11
  • driptarc/decisiondriptaRC avatar

    driptaRC/DECISION

    60View on GitHub↗

    Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)

    Python
    View on GitHub↗60
  • albert0147/g-sfdaAlbert0147 avatar

    Albert0147/G-SFDA

    110View on GitHub↗

    code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'

    Python
    View on GitHub↗110
Compare all 16 related projects→

Frequently asked questions

What does tim-learn/shot do?

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

What are the main features of tim-learn/shot?

The main features of tim-learn/shot are: Source Free Domain Adaptation.

Which projects share features with tim-learn/shot?

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'.