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CoralscapesV2: Panoptic and Fine-Grained Visual Scene Understanding in Coral Reefs
In order to design conservation and restoration strategies to counter the global decline of coral reefs, ecological monitoring of reefs needs to be scaled up dramatically. Computer vision methods are increasingly used to tackle the vast amount of data: as the paradigm of data collection in reefs shifts from highly standardized and constrained survey images to unconstrained imagery on scalable platforms, it is necessary to design machine learning methods that help to get a fine-grained understanding of reefs from general-purpose reef imagery. This paper provides CoralscapesV2, an extension of t
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-11T13:23:11.000Z
First collected: 2026-09-20T18:22:04.777Z. This is not the publication date.