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1901.08616
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Boosting Standard Classification Architectures Through a Ranking Regularizer
24 January 2019
Ahmed Taha
Yi-Ting Chen
Teruhisa Misu
Abhinav Shrivastava
L. Davis
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Papers citing
"Boosting Standard Classification Architectures Through a Ranking Regularizer"
29 / 29 papers shown
Title
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Two Stream Self-Supervised Learning for Action Recognition
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Moustafa Meshry
Xitong Yang
Yi-Ting Chen
L. Davis
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Features for Multi-Target Multi-Camera Tracking and Re-Identification
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Carlo Tomasi
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28 Mar 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval
Xinwei He
Yang Zhou
Zhichao Zhou
S. Bai
X. Bai
3DPC
66
330
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16 Mar 2018
Improved Bilinear Pooling with CNNs
Tsung-Yu Lin
Subhransu Maji
52
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21 Jul 2017
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
114
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23 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
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Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
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Hartwig Adam
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17 Apr 2017
Improving Pairwise Ranking for Multi-label Image Classification
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Yale Song
Jiebo Luo
74
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11 Apr 2017
Beyond triplet loss: a deep quadruplet network for person re-identification
Weihua Chen
Xiaotang Chen
Jianguo Zhang
Kaiqi Huang
87
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06 Apr 2017
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans
Lucas Beyer
Bastian Leibe
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105
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22 Mar 2017
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Basura Fernando
Hakan Bilen
E. Gavves
Stephen Gould
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58
450
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21 Nov 2016
Low-rank Bilinear Pooling for Fine-Grained Classification
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Charless C. Fowlkes
70
347
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16 Nov 2016
Local Similarity-Aware Deep Feature Embedding
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Chen Change Loy
Xiaoou Tang
75
175
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27 Oct 2016
Densely Connected Convolutional Networks
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Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
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775
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25 Aug 2016
Deep Attributes Driven Multi-Camera Person Re-identification
Chi Su
Shiliang Zhang
Junliang Xing
Wen Gao
Q. Tian
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88
408
0
11 May 2016
Triplet Probabilistic Embedding for Face Verification and Clustering
S. Sankaranarayanan
A. Alavi
Carlos D. Castillo
Rama Chellappa
CVBM
3DH
99
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19 Apr 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
381
14,260
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
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194,322
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
886
27,412
0
02 Dec 2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
J. Krause
Benjamin Sapp
Andrew Howard
Howard Zhou
Alexander Toshev
Tom Duerig
James Philbin
Fei-Fei Li
71
364
0
20 Nov 2015
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedML
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97
1,643
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19 Nov 2015
Metric Learning with Adaptive Density Discrimination
Oren Rippel
Manohar Paluri
Piotr Dollar
Lubomir D. Bourdev
74
215
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18 Nov 2015
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
133
1,875
0
29 Apr 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
388
13,169
0
12 Mar 2015
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
323
924
0
03 Dec 2014
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
485
43,685
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17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
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CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
159
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0
23 Mar 2014
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
126
2,269
0
21 Jun 2013
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