Jing Zhang

UFL-YOLO: enhancing underwater object detection with lightweight feature refinement and noise-aware loss

Underwater object detection is challenged by visual degradation such as low contrast, background noise and the difficulty of identifying small targets. To alleviate these issues, we propose UFL-YOLO, an enhanced version of YOLOv10 augmented with lightweight yet effective modules: small object enhance pyramid (SOEP), un...