CNN transfer learning of shrimp detection for underwater vision system
In deep learning, convolutional neural network (CNN) mostly apply common overland images instead of underwater images classifiers. Even though there are few classifiers that have been introduced in marine and aquaculture application, there is still limited sources of the underwater images such as sh...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
IEEE
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/37040/ https://ieeexplore.ieee.org/abstract/document/9398474 |
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