Progressive degradation-aware distillation for robust indoor object detection

Researchers have developed 'Progressive Degradation-aware Distillation' (PDAD), a new training framework designed to improve indoor object detection in low-quality images. The method helps AI models maintain accuracy despite motion blur or sensor noise.