Optimization and Application of Improved YOLOv9s-UI for Underwater Object Detection
Wei Pan,
Jiabao Chen,
Bangjun Lv
et al.
Abstract:The You Only Look Once (YOLO) series of object detection models is widely recognized for its efficiency and real-time performance, particularly under the challenging conditions of underwater environments, characterized by insufficient lighting and visual disturbances. By modifying the YOLOv9s model, this study aims to improve the accuracy and real-time capabilities of underwater object detection, resulting in the introduction of the YOLOv9s-UI detection model. The proposed model incorporates the Dual Dynamic T… Show more
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