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Published in 2019 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-019-01174-4
Abstract: In this paper, we present a new hashing method to learn compact binary codes for highly efficient image retrieval on large-scale datasets. While the complex image appearance variations still pose a great challenge to reliable…
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Keywords:
supervised hashing;
image;
hashing fast;
image retrieval ... See more keywords
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Published in 2019 at "Optik"
DOI: 10.1016/j.ijleo.2018.11.145
Abstract: Abstract Recently, deep hashing has achieved excellent performance in large-scale image retrieval by simultaneously learning deep features and hash function. However, state-of-the-art methods for this task have so far failed to explore feature statistics higher…
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Keywords:
order supervised;
deep high;
order;
supervised hashing ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3174577
Abstract: Recently, deep semi-supervised hashing methods have attracted increasing attention, which can significantly improve retrieval performance by leveraging abundant unlabeled data. These methods usually generate surrogate supervision signals to learn with unlabeled data, such as neighborhood…
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Keywords:
supervised hashing;
semi supervised;
uncertainty aware;
model ... See more keywords