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SimO Loss: Anchor-Free Contrastive Loss for Fine-Grained Supervised Contrastive Learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	Bouhsine, Taha, Aaroussi, Imad El, Faysal, Atik, Huaxia, Wang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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