CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification

Author:

Abdelfattah Rabab1,Guo Qing2,Li Xiaoguang3,Wang Xiaofeng3,Wang Song3

Affiliation:

1. University of Southern Mississippi,USA

2. IHPC and CFAR, Agency for Science, Technology and Research,Singapore

3. University of South Carolina,USA

Publisher

IEEE

Reference47 articles.

1. G2netpl: Generic game-theoretic network for partial-label image classification;Abdelfattah

2. PLMCL: Partial-Label Momentum Curriculum Learning for Multi-label Image Classification

3. Asymmetric loss for multi-label classification;Ben-Baruch,2020

4. Multi-label learning with incomplete class assignments

5. A simple framework for contrastive learning of visual representations;Chen

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2. Triplane-Smoothed Video Dehazing with CLIP-Enhanced Generalization;International Journal of Computer Vision;2024-08-01

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