Real-Time Underwater Fish Detection and Recognition Based on CBAM-YOLO Network with Lightweight Design
More and more underwater robots are deployed to investigate marine biodiversity autonomously, and tools are needed by underwater robots to discover and acknowledge marine life. This paper has proposed a convolutional neural network-based method for intelligent fish detection and recognition with a d...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2024-08-01
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| Serie: | Journal of Marine Science and Engineering |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2077-1312/12/8/1302 |
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