Enhancing Representations through Heterogeneous Self-Supervised Learning

Incorporating heterogeneous representations from different architectures has facilitated various vision tasks, e.g. some hybrid networks combine transformers and convolutions. However, complementarity between such heterogeneous architectures has not been well exploited in self-supervised learning. T...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 08. Apr.
Auteur principal:	Li, Zhong-Yu (Auteur)
Autres auteurs:	Yin, Bo-Wen, Liu, Yongxiang, Liu, Li, Cheng, Ming-Ming
Format:	Article en ligne
Langue:	English
Publié:	2025
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article