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MFLD-net: a lightweight deep learning network for fish morphometry using landmark detection.
- Published in:
- Aquatic Ecology, 2023, v. 57, n. 4, p. 913, doi. 10.1007/s10452-023-10044-8
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- Article
Computer vision and deep learning for fish classification in underwater habitats: A survey.
- Published in:
- Fish & Fisheries, 2022, v. 23, n. 4, p. 977, doi. 10.1111/faf.12666
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- Publication type:
- Article
Weakly supervised underwater fish segmentation using affinity LCFCN.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-96610-2
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- Publication type:
- Article
A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis.
- Published in:
- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-71639-x
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- Publication type:
- Article