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In Defense of the Triplet Loss for Person Re-Identification

In Defense of the Triplet Loss for Person Re-Identification

22 March 2017
Alexander Hermans
Lucas Beyer
Bastian Leibe
    DML
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Papers citing "In Defense of the Triplet Loss for Person Re-Identification"

8 / 58 papers shown
Title
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
281
13,079
0
12 Mar 2015
Learning to rank in person re-identification with metric ensembles
Learning to rank in person re-identification with metric ensembles
S. Paisitkriangkrai
Chunhua Shen
Anton Van Den Hengel
60
474
0
05 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
328
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
200
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
844
149,474
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
333
43,511
0
17 Sep 2014
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
113
6,619
0
22 Dec 2012
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
72
1,420
0
23 Nov 2012
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