2022
DOI: 10.3390/jmse10101562
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An Improved Underwater Recognition Algorithm for Subsea X-Tree Key Components Based on Deep Transfer Learning

Abstract: It is promising to detect or maintain subsea X-trees using a remote operated vehicle (ROV). In this article, an efficient recognition model for the subsea X-tree component is proposed to assist in the autonomous operation of unmanned underwater maintenance vehicles: an efficient network module, SX(subsea X-tree)-DCANet, is designed to replace the CSPBlock of YOLOv4-tiny with ResBlock-D and combine with the ECANet attention module. In addition, two-stage transform learning is used for the insufficiency of under… Show more

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References 28 publications
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