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Architecture-agnostic Lipschitz-constant Bayesian header and its application to resolve semantically proximal classification errors with vision transformers

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Schäfer, Frederik, Mandl, Luis, Kälber, Lars, Ricken, Tim
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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