Learning by Seeing More Classes

Traditional pattern recognition models usually assume a fixed and identical number of classes during both training and inference stages. In this paper, we study an interesting but ignored question: can increasing the number of classes during training improve the generalization and reliability perfor...

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Détails bibliographiques

Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 6 vom: 20. Juni, Seite 7477-7493
Auteur principal:	Zhu, Fei (Auteur)
Autres auteurs:	Zhang, Xu-Yao, Wang, Rui-Qi, Liu, Cheng-Lin
Format:	Article en ligne
Langue:	English
Publié:	2023
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article