Dataset Groups Activity Stream 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. BibTex: @dataset{Shuai_Wang_and_Daoan_Zhang_and_Zipei_Yan_and_Jianguo_Zhang_and_Rui_Li_2024, abstract = {Test time adaptation (TTA) aims to adapt deep neural networks when receiving out of distribution test domain samples.}, author = {Shuai Wang and Daoan Zhang and Zipei Yan and Jianguo Zhang and Rui Li}, doi = {10.57702/lz0hs6nt}, institution = {No Organization}, keyword = {'domain adaptation', 'domain generalization', 'medical image segmentation', 'test time adaptation'}, month = {dec}, publisher = {TIB}, title = {Feature Alignment and Uniformity for Test Time Adaptation}, url = {https://service.tib.eu/ldmservice/dataset/feature-alignment-and-uniformity-for-test-time-adaptation}, year = {2024} }
