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NexViTAD: Few-shot Unsupervised Cross-Domain Defect Detection via Vision Foundation Models and Multi-Task Learning

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Mu, Tianwei, Duan, Feiyu, Zhou, Bo, Xue, Dan, Huang, Manhong
Format:	Preprint
Publié:	2025
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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