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Deep discrete hashing with pairwise correlation learning

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1 Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.12.078

Abstract: Abstract Hashing technology plays an important role in large-scale visual search due to its low memory and fast retrieval speed. Most existing deep hashing approaches first leverage the continuous relaxation strategy to learn continuous approximate… read more here.

Keywords: discrete hashing; hash; pairwise; pairwise correlation ... See more keywords

Nonlinear Discrete Hashing

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0 Published in 2017 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2016.2620604

Abstract: In this paper, we propose a nonlinear discrete hashing approach to learn compact binary codes for scalable image search. Instead of seeking a single linear projection in most existing hashing methods, we pursue a multilayer… read more here.

Keywords: data samples; nonlinear discrete; binary codes; error ... See more keywords

Graph Convolutional Network Discrete Hashing for Cross-Modal Retrieval.

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1 Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3174970

Abstract: With the rapid development of deep neural networks, cross-modal hashing has made great progress. However, the information of different types of data is asymmetrical, that is to say, if the resolution of an image is… read more here.

Keywords: graph convolutional; cross modal; discrete hashing; convolutional network ... See more keywords

Fast Supervised Discrete Hashing

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0 Published in 2018 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2017.2678475

Abstract: Learning-based hashing algorithms are “hot topics” because they can greatly increase the scale at which existing methods operate. In this paper, we propose a new learning-based hashing method called “fast supervised discrete hashing” (FSDH) based… read more here.

Keywords: supervised discrete; discrete hashing; faster sdh; hash code ... See more keywords