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Feature Alignment and Uniformity for Test Time Adaptation

Test time adaptation (TTA) aims to adapt deep neural networks when receiving out of distribution test domain samples.

Data and Resources

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Cite this as

Shuai Wang, Daoan Zhang, Zipei Yan, Jianguo Zhang, Rui Li (2024). Dataset: Feature Alignment and Uniformity for Test Time Adaptation. https://doi.org/10.57702/lz0hs6nt

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Additional Info

Field	Value
Created	December 3, 2024
Last update	December 3, 2024
Author	Shuai Wang
More Authors	Daoan Zhang Zipei Yan Jianguo Zhang Rui Li
Homepage	https://github.com/SakurajimaMaiii/TSD