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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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 34(2025) vom: 30., Seite 5989-6001
Auteur principal:	Huang, Sheng (Auteur)
Autres auteurs:	Yan, Jiexuan, Liu, Beiyan, Liu, Bo, Hong, Richang
Format:	Article en ligne
Langue:	English
Publié:	2025
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article