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Boosting Standard Classification Architectures Through a Ranking
  Regularizer
v1v2v3 (latest)

Boosting Standard Classification Architectures Through a Ranking Regularizer

24 January 2019
Ahmed Taha
Yi-Ting Chen
Teruhisa Misu
Abhinav Shrivastava
L. Davis
ArXiv (abs)PDFHTML

Papers citing "Boosting Standard Classification Architectures Through a Ranking Regularizer"

29 / 29 papers shown
Title
Toward Driving Scene Understanding: A Dataset for Learning Driver
  Behavior and Causal Reasoning
Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning
Vasili Ramanishka
Yi-Ting Chen
Teruhisa Misu
Kate Saenko
84
283
0
06 Nov 2018
Two Stream Self-Supervised Learning for Action Recognition
Two Stream Self-Supervised Learning for Action Recognition
Ahmed Taha
Moustafa Meshry
Xitong Yang
Yi-Ting Chen
L. Davis
SSL
47
10
0
16 Jun 2018
Features for Multi-Target Multi-Camera Tracking and Re-Identification
Features for Multi-Target Multi-Camera Tracking and Re-Identification
Ergys Ristani
Carlo Tomasi
VOT
85
519
0
28 Mar 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval
Triplet-Center Loss for Multi-View 3D Object Retrieval
Xinwei He
Yang Zhou
Zhichao Zhou
S. Bai
X. Bai
3DPC
66
330
0
16 Mar 2018
Improved Bilinear Pooling with CNNs
Improved Bilinear Pooling with CNNs
Tsung-Yu Lin
Subhransu Maji
52
199
0
21 Jul 2017
Sampling Matters in Deep Embedding Learning
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
114
923
0
23 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,880
0
17 Apr 2017
Improving Pairwise Ranking for Multi-label Image Classification
Improving Pairwise Ranking for Multi-label Image Classification
Y. Li
Yale Song
Jiebo Luo
74
203
0
11 Apr 2017
Beyond triplet loss: a deep quadruplet network for person
  re-identification
Beyond triplet loss: a deep quadruplet network for person re-identification
Weihua Chen
Xiaotang Chen
Jianguo Zhang
Kaiqi Huang
87
1,140
0
06 Apr 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
105
3,210
0
22 Mar 2017
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Self-Supervised Video Representation Learning With Odd-One-Out Networks
Basura Fernando
Hakan Bilen
E. Gavves
Stephen Gould
SSL
58
450
0
21 Nov 2016
Low-rank Bilinear Pooling for Fine-Grained Classification
Low-rank Bilinear Pooling for Fine-Grained Classification
Shu Kong
Charless C. Fowlkes
70
347
0
16 Nov 2016
Local Similarity-Aware Deep Feature Embedding
Local Similarity-Aware Deep Feature Embedding
Chen Huang
Chen Change Loy
Xiaoou Tang
75
175
0
27 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
775
36,861
0
25 Aug 2016
Deep Attributes Driven Multi-Camera Person Re-identification
Deep Attributes Driven Multi-Camera Person Re-identification
Chi Su
Shiliang Zhang
Junliang Xing
Wen Gao
Q. Tian
CVBM
88
408
0
11 May 2016
Triplet Probabilistic Embedding for Face Verification and Clustering
Triplet Probabilistic Embedding for Face Verification and Clustering
S. Sankaranarayanan
A. Alavi
Carlos D. Castillo
Rama Chellappa
CVBM3DH
99
214
0
19 Apr 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
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
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
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
27,412
0
02 Dec 2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained
  Recognition
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
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedMLSSLDML
97
1,643
0
19 Nov 2015
Metric Learning with Adaptive Density Discrimination
Metric Learning with Adaptive Density Discrimination
Oren Rippel
Manohar Paluri
Piotr Dollar
Lubomir D. Bourdev
74
215
0
18 Nov 2015
Bilinear CNNs for Fine-grained Visual Recognition
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
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
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
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
0
17 Sep 2014
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
100,479
0
04 Sep 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
159
4,945
0
23 Mar 2014
Fine-Grained Visual Classification of Aircraft
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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