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Learning deep-sea substrate types with visual topic models

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https://hal-amu.archives-ouvertes.fr/hal-01490123
Contributor : William Domingues Vinhas <>
Submitted on : Tuesday, March 14, 2017 - 10:24:13 PM
Last modification on : Wednesday, January 8, 2020 - 4:18:01 PM

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  • HAL Id : hal-01490123, version 1

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Arnold Kalmbach, Maia Hoeberechts, Alexandra Branzan Albu, Hervé Glotin, Sébastien Paris, et al.. Learning deep-sea substrate types with visual topic models. 2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016, Lake Placid, NY, USA, March 7-10, 2016, 2016, Unknown, Unknown Region. pp.1--9. ⟨hal-01490123⟩

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