PASS++ : A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning

Class-incremental learning (CIL) aims to continually recognize new classes while preserving the discriminability of previously learned ones. Most existing CIL methods are exemplar-based, relying on the storage and replay of a subset of old data during training. Without access to such data, these met...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 12. Mai
1. Verfasser:	Zhu, Fei (VerfasserIn)
Weitere Verfasser:	Zhang, Xu-Yao, Cheng, Zhen, Liu, Cheng-Lin
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2025
Zugriff auf das übergeordnete Werk:	IEEE transactions on pattern analysis and machine intelligence
Schlagworte:	Journal Article