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

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

DOI retrieved: December 3, 2024

Additional Info

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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