Class Distribution-Aware Adversarial Training for Semantic Segmentation of Imbalanced Remote Sensing Imagery
Class imbalance is a fundamental challenge in semantic segmentation of remote sensing imagery, causing deep convolutional networks to systematically neglect minority categories such as vehicles and small water bodies. To address this, we propose a class distribution-aware adversarial training framework that explicitly...