tim-learn/awesome-test-time-adaptation

tim-learn/awesome-test-time-adaptation has 1,328 GitHub stars and 77 forks. GitHot measured 0 stars in 24 hours and 0 in 7 days. Last checked 2026-11-09 06:29 UTC. Last push 2025-11-14.

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Collection of awesome test-time (domain/batch/instance) adaptation methods

1,328 stars 77 forks

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README.md

Original

Awesome Test-Time Adaptation

A curated list of awesome test-time (domain/ batch/ instance/ online/ prior) adaptation resources. Your contributions are always welcome!

Problem

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Update

[Sep 8, 2025] Interested in maintaining this project? We're looking for contributors to help keep it active and growing. Feel free to open an issue or reach out to me via email.

Datasets

A list of commonly used datasets in TTA is available in Google Sheets.

Citation

If you find our survey and repository useful for your research, please consider citing our paper:

@article{liang2023ttasurvey,
  title={A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts},
  author={Liang, Jian and He, Ran and Tan, Tieniu},
  journal={International Journal Of Computer Vision},
  year={2023}
}

Surveys and benchmarks

... [Liang et al., IJCV 2024] A comprehensive survey on test-time adaptation under distribution shifts [PDF] [G-Scholar]
... [Liu et al., arXiv 2021] Data-free knowledge transfer: A survey [PDF] [G-Scholar]
... [Zhang et al., Neurocomputing 2023] Source-free unsupervised domain adaptation: Current research and future directions [PDF] [G-Scholar]
... [Fang et al., Neural Networks 2024] Source-free unsupervised domain adaptation: A survey [PDF] [G-Scholar]
... [Li et al., IEEE TPAMI 2024] A comprehensive survey on source-free domain adaptation [PDF] [G-Scholar]
... [Wang et al., IJCV 2024] In search of lost online test-time adaptation: A survey [PDF] [G-Scholar]
... [Xiao and Snoek, arXiv 2024] Beyond model adaptation at test time: A survey [PDF] [G-Scholar--]
... [Yu et al., arXiv 2023] Benchmarking test-time adaptation against distribution shifts in image classification [PDF] [G-Scholar] [CODE]

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