BG-YOLO: A Bidirectional-Guided Method for Underwater Object Detection

arXiv:2404.08979v1 Announce Type: cross
Abstract: Degraded underwater images decrease the accuracy of underwater object detection. However, existing methods for underwater image enhancement mainly focus on improving the indicators in visual aspects, which may not benefit the tasks of underwater image detection, and may lead to serious degradation in performance. To alleviate this problem, we proposed a bidirectional-guided method for underwater object detection, referred to as BG-YOLO. In the proposed method, network is organized by constructing an enhancement branch and a …

abstract accuracy arxiv benefit cs.cv cs.lg detection focus however image image detection images improving object performance tasks type underwater visual yolo