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Fast and accurate person re-identification with Xception and Conv-Net and C2F

Authors :
Rooijen, A.L.
Bouma, H.
Verbeek, F.
Source :
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications CIARP-2018, Madrid, november 19-22, 2018, 611-619
Publication Year :
2018
Publisher :
Springer, 2018.

Subjects

Subjects :
Person re-identification
Defence Research
Feature extraction
Convolutional neural networks
Defence, Safety and Security
Image retrieval
Large-scale person retrieval

Details

Language :
English
Database :
OpenAIRE
Journal :
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications CIARP-2018, Madrid, november 19-22, 2018, 611-619
Accession number :
edsair.dedup.wf.001..11ba800914def09d20e4b0f406698160

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