Deep supervised hashing - Open Access .click

Optik, 2019
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 than first-order. To address this problem, we propose two novel deep high-order supervised
Jing Dong Cheng +6 more
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Supervised deep hashing with a joint deep network

Pattern Recognition, 2020
Abstract Hashing has gained great attention in large-scale image retrieval due to efficient storage and fast search. Recently, many deep hashing approaches have achieved good results since deep neural network owns powerful learning capability. However, these deep hashing approaches can perform deep features learning and binary-like codes learning ...
Yaxiong Chen, Xiaoqiang Lu, Xuelong Li
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Deep Supervised Hashing for Fast Image Retrieval

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
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Haomiao Liu +3 more
openaire +2 more sources

image retrieval
deep learning
fos: computer and information sciences

computer vision and pattern recognition cs.cv
convolutional neural network
supervised hashing

cross-modal retrieval
neural network
quantization