2024
Distributionally Robust Loss for Long-Tailed Multi-Label Image Classification
ECCV 2024poster
"The binary cross-entropy (BCE) loss function is widely utilized in multi-label classification (MLC) tasks, treating each label independently. The log-sum-exp pairwise (LSEP) loss, which emphasizes higher logits for positive classes over negative ones within a sample and accounts for label dependenc…