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Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for
  Person Re-Identification
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification"

20 / 20 papers shown
Title
Surpassing Real-World Source Training Data: Random 3D Characters for
  Generalizable Person Re-Identification
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
Yanan Wang
Tianran Ouyang
Ling Shao
109
87
0
23 Jun 2020
Simulating Content Consistent Vehicle Datasets with Attribute Descent
Simulating Content Consistent Vehicle Datasets with Attribute Descent
Yue Yao
Liang Zheng
Xiaodong Yang
M. Naphade
Tom Gedeon
134
126
0
18 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
556
42,639
0
03 Dec 2019
A Strong Baseline and Batch Normalization Neck for Deep Person
  Re-identification
A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification
Hao Luo
Wei Jiang
Youzhi Gu
Fuxu Liu
Xingyu Liao
Shenqi Lai
Jianyang Gu
3DPC
85
517
0
19 Jun 2019
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Hao Luo
Youzhi Gu
Xingyu Liao
Shenqi Lai
Wei Jiang
BDL3DPC
154
1,178
0
17 Mar 2019
Dissecting Person Re-identification from the Viewpoint of Viewpoint
Dissecting Person Re-identification from the Viewpoint of Viewpoint
Xiaoxiao Sun
Liang Zheng
120
223
0
05 Dec 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with
  Noisy Labels
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
Zhilu Zhang
M. Sabuncu
NoLa
85
2,615
0
20 May 2018
Domain Adaptation through Synthesis for Unsupervised Person
  Re-identification
Domain Adaptation through Synthesis for Unsupervised Person Re-identification
Sławomir Bąk
Peter Carr
Jean-François Lalonde
106
227
0
26 Apr 2018
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Longhui Wei
Shiliang Zhang
Wen Gao
Q. Tian
GAN
112
1,670
0
23 Nov 2017
Universal Style Transfer via Feature Transforms
Universal Style Transfer via Feature Transforms
Yijun Li
Chen Fang
Jimei Yang
Zhaowen Wang
Xin Lu
Ming-Hsuan Yang
DiffM
106
992
0
23 May 2017
In Defense of the Triplet Loss for Person Re-Identification
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans
Lucas Beyer
Bastian Leibe
DML
111
3,212
0
22 Mar 2017
Unlabeled Samples Generated by GAN Improve the Person Re-identification
  Baseline in vitro
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Zhedong Zheng
Liang Zheng
Yi Yang
GAN
91
1,888
0
26 Jan 2017
Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in
  Re-identification
Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification
Igor Barros Barbosa
Marco Cristani
Barbara Caputo
Aleksander Rognhaugen
T. Theoharis
109
197
0
11 Jan 2017
Controlling Perceptual Factors in Neural Style Transfer
Controlling Perceptual Factors in Neural Style Transfer
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
Aaron Hertzmann
Eli Shechtman
51
466
0
23 Nov 2016
Performance Measures and a Data Set for Multi-Target, Multi-Camera
  Tracking
Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani
Francesco Solera
Roger S. Zou
Rita Cucchiara
Carlo Tomasi
91
2,617
0
06 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
816
36,892
0
25 Aug 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
817
39,255
0
09 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
886
27,427
0
02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,529
0
04 Sep 2014
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