Dual-View Alignment Learning With Hierarchical-Prompt for Class-Imbalance Multi-Label Image Classification

Real-world datasets often exhibit class imbalance across multiple categories, manifesting as long-tailed distributions and few-shot scenarios. This is especially challenging in Class-Imbalanced Multi-Label Image Classification (CI-MLIC) tasks, where data imbalance and multi-object recognition presen...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 34(2025) vom: 30., Seite 5989-6001
1. Verfasser:	Huang, Sheng (VerfasserIn)
Weitere Verfasser:	Yan, Jiexuan, Liu, Beiyan, Liu, Bo, Hong, Richang
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2025
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article