Results 21 to 30 of about 1,457 (180)
Contrastive Self-Supervised Hashing With Dual Pseudo Agreement
IEEE Access, 2020 Recently, unsupervised deep hashing has attracted increasing attention, mainly because of its potential ability to learn binary codes without identity annotations.
Yang Li +4 more
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A New Bilinear Supervised Neighborhood Discrete Discriminant Hashing
Mathematics, 2022 Feature extraction is an important part of perceptual hashing. How to compress the robust features of images into hash codes has become a hot research topic.
Xueyu Chen +5 more
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Regional Science Policy &Practice, EarlyView., 2022 Abstract The agri‐food supply chain has been a popular research topic in recent years. The combination of a demand for products of high quality and safety standards and the increasing number of stakeholders in supply chain networks has required the agri‐food business to transform from vertically integrated to vertically operated supply chain networks ...
Thanh_Tuan Chu, Thi Thu Tra Pham
wiley +1 more source
Supervised Intra- and Inter-Modality Similarity Preserving Hashing for Cross-Modal Retrieval
IEEE Access, 2018 Cross-modal hashing has drawn considerable interest in multimodal retrieval due to the explosive growth of big data on multimedia. However, the existing methods mainly focus on unified hash codes learning and investigate the local geometric structure in ...
Zhikui Chen +4 more
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Image Hashing for Tamper Detection with Multiview Embedding and Perceptual Saliency
Advances in Multimedia, 2018 Perceptual hashing technique for tamper detection has been intensively investigated owing to the speed and memory efficiency. Recent researches have shown that leveraging supervised information could lead to learn a high-quality hashing code.
Ling Du, Zhen Chen, Yongzhen Ke
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A Review of Hashing Methods for Multimodal Retrieval
IEEE Access, 2020 With the advent of the information age, the amount of multimedia data has exploded. That makes fast and efficient retrieval in multimodal data become an urgent requirement.
Wenming Cao +4 more
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Supervised Short-Length Hashing [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Hashing can compress high-dimensional data into compact binary codes, while preserving the similarity, to facilitate efficient retrieval and storage. However, when retrieving using an extremely short length hash code learned by the existing methods, the performance cannot be guaranteed because of severe information loss.
Xingbo Liu +5 more
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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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2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 This paper has been withdrawn by the authour.
Shen, Fumin +3 more
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Angular Deep Supervised Hashing for Image Retrieval
IEEE Access, 2019 Deep learning based image hashing methods learn hash codes by using powerful feature extractors and nonlinear transformations to achieve highly efficient image retrieval. For most end-to-end deep hashing methods, the supervised learning process relies on
Chang Zhou +8 more
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