Zero shot Learning by Mutual Information Estimation and Maximization
The key of zero-shot learning is to use the visual-semantic embedding to transfer the knowledge from seen classes to unseen classes. In this paper, we propose to build the visual-semantic embedding by maximizing the mutual information between visual features and corresponding attributes. Then, the.m
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