Imbalanced image classification with complement cross entropy

Yechan Kim, Younkwan Lee, Moongu Jeon

Abstract: Highlights•This work proposes a simple loss function for imbalanced image classification.•This work studies the effect of suppressing output scores on incorrect classes for imbalanced image classification.•This work demonstrates the effectiveness of the proposed method through experiments on imbalanced datasets.