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https://github.com/Gorilla-Lab-SCUT/TTAC
[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
https://github.com/Gorilla-Lab-SCUT/TTAC
deep-learning domain-adaptation pseudo-labeling test-time-adaptation test-time-training
Last synced: about 2 months ago
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[NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
- Host: GitHub
- URL: https://github.com/Gorilla-Lab-SCUT/TTAC
- Owner: Gorilla-Lab-SCUT
- License: mit
- Created: 2022-05-31T13:35:50.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-10-06T06:01:39.000Z (12 months ago)
- Last Synced: 2024-07-21T20:44:26.349Z (2 months ago)
- Topics: deep-learning, domain-adaptation, pseudo-labeling, test-time-adaptation, test-time-training
- Language: Python
- Homepage: https://arxiv.org/abs/2206.02721
- Size: 1.32 MB
- Stars: 41
- Watchers: 1
- Forks: 4
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE