Deep learning with self-supervision and uncertainty regularization to count 
fish in underwater images

Tarling, P.; Cantor, Mauricio; Clapes, A.; Escalera, S.

doi:10.1371/journal.pone.0267759

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Deep learning with self-supervision and uncertainty regularization to count fish in underwater images

Tarling, P., Cantor, M., Clapes, A., & Escalera, S. (2022). Deep learning with self-supervision and uncertainty regularization to count fish in underwater images. PLoS One, 17(5): e0267759. doi:10.1371/journal.pone.0267759.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-B65E-0 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-B65F-F

Genre: Journal Article

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Creators:
Tarling, P., Author
Cantor, Mauricio¹, Author
Clapes, A., Author
Escalera, S., Author

Affiliations:
1Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Max Planck Society, ou_3149186

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Dates: Date issued: 2022

Publication Status: Issued

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Identifiers: DOI: 10.1371/journal.pone.0267759

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Title: PLoS One

Abbreviation : PLoS One

Source Genre: Journal

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Publ. Info: San Francisco, CA : Public Library of Science

Pages: - Volume / Issue: 17 (5) Sequence Number: e0267759 Start / End Page: - Identifier: ISSN: 1932-6203
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000277850