Automatic fish species classification in underwater videos: Exploiting pre-trained deep neural network models to compensate for limited labelled data
© International Council for the Exploration of the Sea 2017. All rights reserved. There is a need for automatic systems that can reliably detect, track and classify fish and other marine species in underwater videos without human intervention. Conventional computer vision techniques do not perform w...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
Oxford University Press 2009
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/65753 |