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Inicio  /  Applied Sciences  /  Vol: 12 Par: 13 (2022)  /  Artículo
ARTÍCULO
TITULO

A Novel FFT_YOLOX Model for Underwater Precious Marine Product Detection

Peng Wang    
Zhipeng Yang    
Hongshuai Pang    
Tao Zhang and Kewei Cai    

Resumen

The proposed FFT_YOLOX model is a computational efficient and conceptually simple architecture to capture global information of images. This method could enhance the efficiency and accuracy of precious marine product detection in the underwater environment. Therefore, it can help the underwater robot to recognize and fish marine products automatically.

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