Centrala begrepp
Imbalanced gradients in long-tailed classification bias models towards head classes, addressed by the Gradient-Aware Logit Adjustment (GALA) loss.
Statistik
Our approach achieves top-1 accuracy of 48.5%, 41.4%, and 73.3% on CIFAR100-LT, Places-LT, and iNaturalist datasets respectively.
Citat
"Imbalanced gradients distort the classifier in two ways."
"Our proposed GALA loss outperforms many prior methods by obvious margins."