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AttentionNet: Aggregating Weak Directions for Accurate Object Detection

AttentionNet: Aggregating Weak Directions for Accurate Object Detection

25 June 2015
Donggeun Yoo
Sunggyun Park
Joon-Young Lee
Anthony S. Paek
In So Kweon
ArXivPDFHTML

Papers citing "AttentionNet: Aggregating Weak Directions for Accurate Object Detection"

21 / 21 papers shown
Title
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Oriented Object Detection in Optical Remote Sensing Images using Deep Learning: A Survey
Kunlin Wang
Zi Wang
Zhang Li
Ang Su
Xichao Teng
Minhao Liu
Qifeng Yu
Qifeng Yu
ObjD
139
9
0
21 Feb 2023
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory
  Prediction and Abnormal Event Detection
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection
Tharindu Fernando
Simon Denman
Sridha Sridharan
Clinton Fookes
HAI
60
335
0
18 Feb 2017
Attentional Network for Visual Object Detection
Attentional Network for Visual Object Detection
Kota Hara
Ming-Yuan Liu
Oncel Tuzel
Amir-massoud Farahmand
ObjD
96
28
0
06 Feb 2017
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
305
18,609
0
06 Feb 2015
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object
  Detection
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
Wanli Ouyang
Xiaogang Wang
Xingyu Zeng
Shi Qiu
Ping Luo
...
Hongsheng Li
Shuo Yang
Zhe Wang
Chen Change Loy
Xiaoou Tang
ObjD
70
437
0
17 Dec 2014
Fisher Kernel for Deep Neural Activations
Fisher Kernel for Deep Neural Activations
Donggeun Yoo
Sunggyun Park
Joon-Young Lee
In So Kweon
FAtt
68
32
0
04 Dec 2014
Scalable, High-Quality Object Detection
Scalable, High-Quality Object Detection
Christian Szegedy
Scott E. Reed
D. Erhan
Dragomir Anguelov
Sergey Ioffe
ObjD
99
369
0
03 Dec 2014
Do More Dropouts in Pool5 Feature Maps for Better Object Detection
Do More Dropouts in Pool5 Feature Maps for Better Object Detection
Zhiqiang Shen
Xiangyang Xue
51
5
0
24 Sep 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
438
43,635
0
17 Sep 2014
DeepID-Net: multi-stage and deformable deep convolutional neural
  networks for object detection
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
Wanli Ouyang
Ping Luo
Xingyu Zeng
Shi Qiu
Yonglong Tian
...
Zhenyao Zhu
Ruohui Wang
Chen Change Loy
Xiaogang Wang
Xiaoou Tang
ObjD
133
159
0
11 Sep 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
1.6K
100,330
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.6K
39,509
0
01 Sep 2014
Analyzing the Performance of Multilayer Neural Networks for Object
  Recognition
Analyzing the Performance of Multilayer Neural Networks for Object Recognition
Pulkit Agrawal
Ross B. Girshick
Jitendra Malik
SSL
105
444
0
07 Jul 2014
Deep Poselets for Human Detection
Deep Poselets for Human Detection
Lubomir D. Bourdev
Fei Yang
Rob Fergus
69
28
0
02 Jul 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
387
11,221
0
18 Jun 2014
Joint Training of a Convolutional Network and a Graphical Model for
  Human Pose Estimation
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
Jonathan Tompson
Arjun Jain
Yann LeCun
C. Bregler
3DH
136
1,539
0
11 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
210
3,417
0
14 May 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
149
5,004
0
21 Dec 2013
Scalable Object Detection using Deep Neural Networks
Scalable Object Detection using Deep Neural Networks
D. Erhan
Christian Szegedy
Alexander Toshev
Dragomir Anguelov
ObjD
112
1,165
0
08 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
585
15,874
0
12 Nov 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
282
26,181
0
11 Nov 2013
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