1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Mitigating the ID-OOD Tradeoff in Open-Set Test-Time Adaptation
Wenjie Zhao, Jia Li, Xin Dong +3
Open-set test-time adaptation (OSTTA) addresses the challenge of adapting models to new environments where out-of-distribution (OOD) samples coexist with in-distribution (ID) sampl…
cs.LG2023★ 1 cited
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer
Leixin Yang, Yu Xiang
Mixup is an effective data augmentation method that generates new augmented samples by aggregating linear combinations of different original samples. However, if there are noises o…