Semantic-Driven Adversarial Reconstruction Learning for Open-Set Recognition in Remote Sensing Imagery
Open-Set Recognition (OSR) in Remote Sensing Scene Images (RSSIs) is severely hindered by complex backgrounds, which obscure the generative failures of unknown classes in traditional reconstruction-based methods. To address this, we propose a Semantic-Driven Adversarial Reconstruction (SDAR) framework that shifts the O...