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Exploit Bounding Box Annotations for Multi-label Object Recognition

Exploit Bounding Box Annotations for Multi-label Object Recognition

22 April 2015
Hao Yang
Qiufeng Wang
Yu Zhang
Bin-Bin Gao
Jianxin Wu
Jianfei Cai
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Papers citing "Exploit Bounding Box Annotations for Multi-label Object Recognition"

11 / 11 papers shown
Title
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action
  Video Understanding
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
Mathew Monfort
Bowen Pan
K. Ramakrishnan
A. Andonian
Barry A. McNamara
A. Lascelles
Quanfu Fan
Dan Gutfreund
Rogerio Feris
A. Oliva
VLM
43
68
0
01 Nov 2019
Top Rank Optimization in Linear Time
Top Rank Optimization in Linear Time
Nan Li
Rong Jin
Zhi Zhou
34
70
0
06 Oct 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
561
99,991
0
04 Sep 2014
How good are detection proposals, really?
How good are detection proposals, really?
J. Hosang
Rodrigo Benenson
Bernt Schiele
ObjD
37
272
0
26 Jun 2014
CNN: Single-label to Multi-label
CNN: Single-label to Multi-label
Yunchao Wei
Wei Xia
Junshi Huang
Bingbing Ni
Jian Dong
Yao-Min Zhao
Shuicheng Yan
58
674
0
22 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
137
3,414
0
14 May 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
88
4,936
0
23 Mar 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
71
4,999
0
21 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
159
26,091
0
11 Nov 2013
A Survey on Metric Learning for Feature Vectors and Structured Data
A Survey on Metric Learning for Feature Vectors and Structured Data
A. Bellet
Amaury Habrard
M. Sebban
87
680
0
28 Jun 2013
Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples
Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples
Zhi Zhou
Yu-Yin Sun
Yu-Feng Li
89
475
0
12 Jul 2008
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