EC-YOLOX: A Deep-Learning Algorithm for Floating Objects Detection in Ground Images of Complex Water Environments

EC-YOLOX: A Deep-Learning Algorithm for Floating Objects Detection in Ground Images of Complex Water Environments

Correct detection of floating objects in complex water environments is a challenge because of the problems of obscuration and dense floating objects. In view of the above issues, this article proposed a network called EC-YOLOX by introducing the coordinate attention (CA) and efficient channel attent...

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Bibliographic Details
Main Authors: Jiaxin He, Yong Cheng, Wei Wang, Yakang Gu, Yixuan Wang, Wenjie Zhang, Achyut Shankar, Shitharth Selvarajan, Sathish A. P. Kumar
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
floating objects
loss function
missed detection rate
YOLOX
Online Access:https://ieeexplore.ieee.org/document/10449338/

Internet

https://ieeexplore.ieee.org/document/10449338/

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