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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - PP(2025) vom: 08. Apr.
1. Verfasser: Li, Zhong-Yu (VerfasserIn)
Weitere Verfasser: Yin, Bo-Wen, Liu, Yongxiang, Liu, Li, Cheng, Ming-Ming
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2025
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article