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2010.08145
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Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification
15 October 2020
Suncheng Xiang
Yuzhuo Fu
Guanjie You
Ting Liu
Re-assign community
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Papers citing
"Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification"
20 / 20 papers shown
Title
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
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Wei Jiang
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Fuxu Liu
Xingyu Liao
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Bag of Tricks and A Strong Baseline for Deep Person Re-identification
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Xingyu Liao
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Wei Jiang
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Dissecting Person Re-identification from the Viewpoint of Viewpoint
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Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
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M. Sabuncu
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Domain Adaptation through Synthesis for Unsupervised Person Re-identification
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Peter Carr
Jean-François Lalonde
106
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26 Apr 2018
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
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Shiliang Zhang
Wen Gao
Q. Tian
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112
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23 Nov 2017
Universal Style Transfer via Feature Transforms
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
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106
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23 May 2017
In Defense of the Triplet Loss for Person Re-Identification
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Lucas Beyer
Bastian Leibe
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22 Mar 2017
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
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26 Jan 2017
Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification
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Marco Cristani
Barbara Caputo
Aleksander Rognhaugen
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11 Jan 2017
Controlling Perceptual Factors in Neural Style Transfer
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Eli Shechtman
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Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
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Densely Connected Convolutional Networks
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Laurens van der Maaten
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Carlos Guestrin
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