Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching

no code implementations • 26 Mar 2024 • Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda

We hypothesize that enhancing the input image reduces prediction's uncertainty and increase the accuracy of TTA methods.

Image Enhancement Test-time Adaptation

Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift

no code implementations • 21 Mar 2024 • Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin'ya Yamaguchi

However, the uncertainty cannot be computed in the same way as classification in re-id since it is an open-set task, which does not share person labels between training and testing.

Person Re-Identification Test-time Adaptation