2025
Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch
ICCV 2025poster
In class-imbalanced learning (CIL), post-hoc logit adjustment (LA) effectively mitigates class imbalance by adjusting biased logits according to label frequencies. Given the success of LA in CIL, recent class-imbalanced semi-supervised learning (CISSL) algorithms incorporated LA, leading to improved…