A Lightweight underwater detector enhanced by Attention mechanism, GSConv and WIoU on YOLOv8.

ABSTRACT: The underwater target detection is the most important part of monitoring for environment, ocean, and other fields. However, the detection accuracy is greatly decreased by the poor image quality resulted from the complex underwater environments. The storage and computing power of underwater equipments are not enough for complex underwater target detection technology. Therefore, many YOLO series algorithms have been applied to underwater target detection. On the basis of YOLOv8, a lightweight underwater detector enhanced by Attention mechanism, GSConv and WIoU, AGW-YOLOv8, is proposed in this paper. Firstly, by the combination of limited contrast adaptive histogram equalization and wavelet transform(LCAHE-WT), the fidelity and detail of images are improved; Secondly, by CBAM, the key channel

SUBMITTER: Cai S 

PROVIDER: S-EPMC11519365 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature