HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN

CVPR, pp. 1287-1296, 2018.

Cited by: 33|Bibtex|Views49
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Deep learning to hash improves image retrieval performance by end-to-end representation learning and hash coding from training data with pairwise similarity information. Subject to the scarcity of similarity information that is often expensive to collect for many application domains, existing deep learning to hash methods may overfit the ...More

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