Results 1 to 10 of about 10,164 (194)
Deep supervised hashing for gait retrieval [version 2; peer review: 2 approved] [PDF]
F1000Research, 2022 Background: Gait recognition is perceived as the most promising biometric approach for future decades especially because of its efficient applicability in surveillance systems.
Shohel Sayeed, Pa Pa Min, Thian Song Ong
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Angular Deep Supervised Hashing for Image Retrieval [PDF]
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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Deep Supervised Hashing Based on Stable Distribution [PDF]
IEEE Access, 2019 Recently, the convolutional neural network (CNN)-based hashing method has achieved its promising performance for image retrieval. However, tackling the discrepancy between quantization error minimization and discriminability maximization of the network ...
Lei Wu +5 more
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An Efficient Supervised Deep Hashing Method for Image Retrieval
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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Enhanced Image Retrieval Using Multiscale Deep Feature Fusion in Supervised Hashing [PDF]
Journal of ImagingIn recent years, deep-network-based hashing has gained prominence in image retrieval for its ability to generate compact and efficient binary representations.
Amina Belalia +2 more
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Text-Enhanced Graph Attention Hashing for Cross-Modal Retrieval [PDF]
EntropyDeep hashing technology, known for its low-cost storage and rapid retrieval, has become a focal point in cross-modal retrieval research as multimodal data continue to grow.
Qiang Zou +3 more
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Deep Discrete Supervised Hashing [PDF]
IEEE Transactions on Image Processing, 2018 Hashing has been widely used for large-scale search due to its low storage cost and fast query speed. By using supervised information, supervised hashing can significantly outperform unsupervised hashing. Recently, discrete supervised hashing and deep hashing are two representative progresses in supervised hashing. On one hand, hashing is essentially a
Qing-Yuan Jiang, Xue Cui, Wu-Jun Li
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Non-Relaxation Deep Hashing Method for Fast Image Retrieval
IEEE Access, 2023 Deep hashing methods utilize an end-to-end framework to mutually learn feature representations and hash codes, thereby achieving a better retrieval performance.
Xiaofei Li
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Fully Connected Hashing Neural Networks for Indexing Large-Scale Remote Sensing Images
Mathematics, 2022 With the emergence of big data, the efficiency of data querying and data storage has become a critical bottleneck in the remote sensing community. In this letter, we explore hash learning for the indexing of large-scale remote sensing images (RSIs) with ...
Na Liu +5 more
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Remote Sensing Image Retrieval Based on Deep Multi-Similarity Hashing Method [PDF]
Jisuanji gongcheng, 2023 Hashing methods are widely used in remote sensing image retrieval owing to their low storage and high efficiency.Unsupervised hashing methods for remote sensing image retrieval tasks are often associated with unreliable pseudo-labeling, the same training
HE Yue, CHEN Guangsheng, JING Weipeng, XU Zekun
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