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cs.CV2024
Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
Heng-Bo Fan, Ming-Kun Xie, Jia-Hao Xiao +1
Due to the lack of extensive precisely-annotated multi-label data in real word, semi-supervised multi-label learning (SSMLL) has gradually gained attention. Abundant knowledge embe…
cs.CV2024
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
Ming-Kun Xie, Jia-Hao Xiao, Pei Peng +3
The key to multi-label image classification (MLC) is to improve model performance by leveraging label correlations. Unfortunately, it has been shown that overemphasizing co-occurre…