Lightweight Sea Cucumber Recognition Network Using Improved YOLOv5
Aiming at the problems of the poor real-time detection ability of intelligent devices for underwater targets and the difficulty of deploying complex model algorithms on embedded devices with limited resources, this paper proposed a lightweight feature extraction module GGS, which combines traditiona...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10114394/ |