Underwater-Yolo: Underwater Object Detection Network with Dilated Deformable Convolutions and Dual-Branch Occlusion Attention Mechanism

Underwater-Yolo: Underwater Object Detection Network with Dilated Deformable Convolutions and Dual-Branch Occlusion Attention Mechanism

Underwater object detection is critical for marine ecological monitoring and biodiversity research, yet existing algorithms struggle in detecting densely packed objects of varying sizes, particularly in occluded and complex underwater environments. This study introduces Underwater-Yolo, a novel dete...

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Bibliographic Details
Main Authors: Zhenming Li, Bing Zheng, Dong Chao, Wenbo Zhu, Haibing Li, Jin Duan, Xinming Zhang, Zhongbo Zhang, Weijie Fu, Yunzhi Zhang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Marine Science and Engineering
Subjects:
underwater object detection
dilated deformable convolution (DDC)
dual-branch occlusion-handling attention mechanism (GLOAM)
small-object detection
occluded-object detection
marine ecological monitoring
Online Access:https://www.mdpi.com/2077-1312/12/12/2291
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