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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
v1v2v3v4 (latest)

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

18 June 2014
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    ObjD
ArXiv (abs)PDFHTML

Papers citing "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition"

28 / 1,578 papers shown
Title
Combining the Best of Graphical Models and ConvNets for Semantic
  Segmentation
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation
Michael Cogswell
Xiao Lin
Senthil Purushwalkam
Dhruv Batra
SSeg
81
16
0
14 Dec 2014
Convolutional Neural Networks at Constrained Time Cost
Convolutional Neural Networks at Constrained Time Cost
Kaiming He
Jian Sun
3DV
108
1,293
0
04 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
86
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
127
370
0
03 Dec 2014
Convolutional Feature Masking for Joint Object and Stuff Segmentation
Convolutional Feature Masking for Joint Object and Stuff Segmentation
Jifeng Dai
Kaiming He
Jian Sun
SSeg
102
445
0
03 Dec 2014
Untangling Local and Global Deformations in Deep Convolutional Networks
  for Image Classification and Sliding Window Detection
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection
George Papandreou
Iasonas Kokkinos
Pierre-André Savalle
74
47
0
30 Nov 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
278
8,450
0
28 Nov 2014
The Treasure beneath Convolutional Layers: Cross-convolutional-layer
  Pooling for Image Classification
The Treasure beneath Convolutional Layers: Cross-convolutional-layer Pooling for Image Classification
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
93
194
0
27 Nov 2014
Deep convolutional filter banks for texture recognition and segmentation
Deep convolutional filter banks for texture recognition and segmentation
Mircea Cimpoi
Subhransu Maji
Andrea Vedaldi
3DV
105
54
0
25 Nov 2014
Understanding image representations by measuring their equivariance and
  equivalence
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc
Andrea Vedaldi
SSLFAtt
199
538
0
21 Nov 2014
Hypercolumns for Object Segmentation and Fine-grained Localization
Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
SSeg
155
1,597
0
21 Nov 2014
Efficient and Accurate Approximations of Nonlinear Convolutional
  Networks
Efficient and Accurate Approximations of Nonlinear Convolutional Networks
Xinming Zhang
Jianhua Zou
Xiang Ming
Kaiming He
Jian Sun
3DV
105
263
0
16 Nov 2014
A Discriminative CNN Video Representation for Event Detection
A Discriminative CNN Video Representation for Event Detection
Zhongwen Xu
Yi Yang
Alexander G. Hauptmann
111
451
0
14 Nov 2014
Towards a Visual Turing Challenge
Towards a Visual Turing Challenge
Mateusz Malinowski
Mario Fritz
106
74
0
29 Oct 2014
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale
  Visual Recognition
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition
Zhicheng Yan
Hao Zhang
Robinson Piramuthu
Vignesh Jagadeesh
D. DeCoste
Wei Di
Yizhou Yu
140
60
0
03 Oct 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
63
5
0
24 Sep 2014
Fast Low-rank Representation based Spatial Pyramid Matching for Image
  Classification
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification
Xi Peng
Rui Yan
Bo Zhao
Huajin Tang
Zhang Yi
72
25
0
22 Sep 2014
Deformable Part Models are Convolutional Neural Networks
Deformable Part Models are Convolutional Neural Networks
Ross B. Girshick
F. Iandola
Trevor Darrell
Jitendra Malik
108
458
0
18 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
144
160
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
FAttMDE
2.0K
100,778
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
VLMObjD
1.7K
39,729
0
01 Sep 2014
Object Detection Through Exploration With A Foveated Visual Field
Object Detection Through Exploration With A Foveated Visual Field
Emre Akbas
Miguel P. Eckstein
ObjD
81
69
0
04 Aug 2014
LSDA: Large Scale Detection Through Adaptation
LSDA: Large Scale Detection Through Adaptation
Judy Hoffman
S. Guadarrama
Eric Tzeng
Ronghang Hu
Jeff Donahue
Ross B. Girshick
Trevor Darrell
Kate Saenko
ObjD
130
334
0
18 Jul 2014
Discriminative Unsupervised Feature Learning with Exemplar Convolutional
  Neural Networks
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks
Alexey Dosovitskiy
Philipp Fischer
Jost Tobias Springenberg
Martin Riedmiller
Thomas Brox
OODSSL
169
1,026
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
130
676
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
241
3,423
0
14 May 2014
PCANet: A Simple Deep Learning Baseline for Image Classification?
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan
Kui Jia
Shenghua Gao
Jiwen Lu
Zinan Zeng
Yi-An Ma
131
1,502
0
14 Apr 2014
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces
  for Manifold Regularization and Co-Regularized Multi-view Learning
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning
H. Q. Minh
Loris Bazzani
Vittorio Murino
72
66
0
31 Jan 2014
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