4 papers · 1 filter
Cross-Modal Mapping: Mitigating the Modality Gap for Few-Shot Image Classification
Xi Yang, Pai Peng, Wulin Xie +2
Few-shot image classification remains a critical challenge in the field of computer vision, particularly in data-scarce environments. Existing methods typically rely on pre-trained…
Incomplete Multi-view Multi-label Classification via a Dual-level Contrastive Learning Framework
Bingyan Nie, Wulin Xie, Jiang Long +1
Recently, multi-view and multi-label classification have become significant domains for comprehensive data analysis and exploration. However, incompleteness both in views and label…
Task-Augmented Cross-View Imputation Network for Partial Multi-View Incomplete Multi-Label Classification
Lian Zhao, Jie Wen, Xiaohuan Lu +3
In real-world scenarios, multi-view multi-label learning often encounters the challenge of incomplete training data due to limitations in data collection and unreliable annotation…
Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification
Wulin Xie, Lian Zhao, Jiang Long +2
Multi-view multi-label classification (MvMLC) has recently garnered significant research attention due to its wide range of real-world applications. However, incompleteness in view…