Deep hashing - Open Access .click

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IEEE Transactions on Neural Networks and Learning Systems, 2018
One major assumption used in most existing hashing approaches is that the domain of interest (i.e., the target domain) could provide sufficient training data, either labeled or unlabeled. However, this assumption may be violated in practice. To address this so-called data sparsity issue in hashing, a new framework termed transfer hashing with ...
Joey Tianyi Zhou +5 more
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Deep Hashing for Scalable Image Search

IEEE Transactions on Image Processing, 2017
In this paper, we propose a new deep hashing (DH) approach to learn compact binary codes for scalable image search. Unlike most existing binary codes learning methods, which usually seek a single linear projection to map each sample into a binary feature vector, we develop a deep neural network to seek multiple hierarchical non-linear transformations ...
Jiwen Lu, Venice Erin Liong, Jie Zhou
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Deep Hashing with Minimal-Distance-Separated Hash Centers

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Liangdao Wang +5 more
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Deep debiased contrastive hashing

Pattern Recognition, 2023
Rukai Wei +4 more
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Chimeric antigen receptor T‐cell therapy in multiple myeloma: A comprehensive review of current data and implications for clinical practice

Ca-A Cancer Journal for Clinicians, 2023

exaly

Deep Eutectic Solvents: A Review of Fundamentals and Applications

Chemical Reviews, 2021
Brian Chen, Yong Zhang, Jeffrey M Klein
exaly

Soft wearable devices for deep-tissue sensing

Nature Reviews Materials, 2022
Muyang Lin, Hongjie Hu, Sai Zhou
exaly

Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR

Nature Reviews Drug Discovery, 2023
Artem Cherkasov, Gisbert Schneider, Alexandre Varnek +2 more
exaly

Deep Attention Residual Hashing

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2018
Yang LI +4 more
openaire +1 more source

Deep neural networks for the evaluation and design of photonic devices

Nature Reviews Materials, 2020
Jiaqi Jiang, Mingkun Chen, Jonathan A Fan +2 more
exaly

fos: computer and information sciences
computer vision and pattern recognition cs.cv
image retrieval

deep learning
computer science - information retrieval
information retrieval cs.ir

deep neural network
remote sensing image retrieval
deep supervised hashing