Context-guided adaptive feature learning for robust low-light object detection.
Low-light object detection is a challenging task in computer vision and visual computing, with wide applications in autonomous systems, underwater monitoring, and nighttime surveillance. Images captured under insufficient illumination usually suffer from low contrast, noise amplification, and degraded texture details,...