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An Efficient Supervised Deep Hashing Method for Image Retrieval [PDF]
Entropy, 2022 In recent years, searching and retrieving relevant images from large databases has become an emerging challenge for the researcher. Hashing methods that mapped raw data into a short binary code have attracted increasing attention from the researcher ...
Abid Hussain +5 more
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Hierarchical semantic interaction-based deep hashing network for cross-modal retrieval [PDF]
PeerJ Computer Science, 2021 Due to the high efficiency of hashing technology and the high abstraction of deep networks, deep hashing has achieved appealing effectiveness and efficiency for large-scale cross-modal retrieval. However, how to efficiently measure the similarity of fine-
Shubai Chen, Song Wu, Li Wang
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Deep Attention-Guided Hashing [PDF]
IEEE Access, 2019 With the rapid growth of multimedia data (e.g., image, audio, and video) on the Web, the learning-based hashing techniques, such as deep supervised hashing, have proven to be very efficient for large-scale multimedia search.
Zhan Yang +3 more
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Deep Covariance Estimation Hashing [PDF]
IEEE Access, 2019 Deep hashing, the combination of advanced convolutional neural networks and efficient hashing, has recently achieved impressive performance for image retrieval.
Yue Wu +5 more
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Asymmetric Deep Supervised Hashing
Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Hashing has been widely used for large-scale approximate nearest neighbor search because of its storage and search efficiency. Recent work has found that deep supervised hashing can significantly outperform non-deep supervised hashing in many ...
Jiang, Qing-Yuan, Li, Wu-Jun
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Deep Hashing with Triplet Quantization Loss [PDF]
2017 IEEE Visual Communications and Image Processing (VCIP), 2017 With the explosive growth of image databases, deep hashing, which learns compact binary descriptors for images, has become critical for fast image retrieval.
Huang, Shanshan +3 more
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Ranking-based Deep Cross-modal Hashing
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Cross-modal hashing has been receiving increasing interests for its low storage cost and fast query speed in multi-modal data retrievals. However, most existing hashing methods are based on hand-crafted or raw level features of objects, which may not be ...
Domeniconi, Carlotta +5 more
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Deep Self-Taught Hashing for Image Retrieval [PDF]
IEEE Transactions on Cybernetics, 2019 Hashing algorithm has been widely used to speed up image retrieval due to its compact binary code and fast distance calculation. The combination with deep learning boosts the performance of hashing by learning accurate representations and complicated ...
Liu, Li +6 more
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Deep momentum uncertainty hashing [PDF]
Pattern Recognition, 2022 Combinatorial optimization (CO) has been a hot research topic because of its theoretic and practical importance. As a classic CO problem, deep hashing aims to find an optimal code for each data from finite discrete possibilities, while the discrete nature brings a big challenge to the optimization process.
Fu, Chaoyou +4 more
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Robust Authentication Analysis of Copyright Images through Deep Hashing Models with Self-supervision [PDF]
Journal of Universal Computer Science, 2023 The increased usage of the internet and ICT has posed a significant challenge to protect copyrighted content due to advanced image forgery techniques that make image authentication extremely difficult.
Jaeyoung Yang +5 more
doaj +3 more sources