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Deep Generative Models for Weakly-Supervised Multi-Label Classification

ECCV 2018 • Hong-Min Chu • Chih-Kuan Yeh • Yu-Chiang Frank Wang

In order to train learning models for multi-label classification (MLC), it is typically desirable to have a large amount of fully annotated multi-label data. Since such annotation process is in general costly, we focus on the learning task of weakly-supervised multi-label classification (WS-MLC)... (read more)

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