Seeing in RAW: Detection-Oriented Representation Learning for Low-Light Object Detection
Low-light object detection remains challenging because conventional image signal processing (ISP) pipelines may suppress weak sensor-level cues before detection. Existing enhancement methods usually operate on ISP-processed RGB images, making it difficult to recover subtle textures, intensity variations, and inter-chan...