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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"

50 / 1,578 papers shown
Title
Deep filter banks for texture recognition, description, and segmentation
Deep filter banks for texture recognition, description, and segmentation
Mircea Cimpoi
Subhransu Maji
Iasonas Kokkinos
Andrea Vedaldi
123
352
0
09 Jul 2015
Cross Modal Distillation for Supervision Transfer
Cross Modal Distillation for Supervision Transfer
Saurabh Gupta
Judy Hoffman
Jitendra Malik
136
539
0
02 Jul 2015
AttentionNet: Aggregating Weak Directions for Accurate Object Detection
AttentionNet: Aggregating Weak Directions for Accurate Object Detection
Donggeun Yoo
Sunggyun Park
Joon-Young Lee
Anthony S. Paek
In So Kweon
98
162
0
25 Jun 2015
R-CNN minus R
R-CNN minus R
Karel Lenc
Andrea Vedaldi
ObjD
100
95
0
23 Jun 2015
Mining Mid-level Visual Patterns with Deep CNN Activations
Mining Mid-level Visual Patterns with Deep CNN Activations
Yao Li
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
106
54
0
21 Jun 2015
Learning to Segment Object Candidates
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
113
803
0
20 Jun 2015
A Spatial Layout and Scale Invariant Feature Representation for Indoor
  Scene Classification
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene Classification
Munawar Hayat
Salman H. Khan
Bennamoun
Senjian An
99
69
0
18 Jun 2015
A Discriminative Representation of Convolutional Features for Indoor
  Scene Recognition
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition
Salman H. Khan
Munawar Hayat
Bennamoun
R. Togneri
Ferdous Sohel
75
71
0
17 Jun 2015
ParseNet: Looking Wider to See Better
ParseNet: Looking Wider to See Better
Wei Liu
Andrew Rabinovich
Alexander C. Berg
SSeg
145
1,214
0
15 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
796
37,220
0
08 Jun 2015
SVM and ELM: Who Wins? Object Recognition with Deep Convolutional
  Features from ImageNet
SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet
Lei Zhang
David C. Zhang
VLM
57
53
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
584
62,735
0
04 Jun 2015
Visual Search at Pinterest
Visual Search at Pinterest
Yushi Jing
David C. Liu
Dmitry Kislyuk
Andrew Zhai
Jiajing Xu
Jeff Donahue
Sarah Tavel
VLM
75
147
0
28 May 2015
Texture Synthesis Using Convolutional Neural Networks
Texture Synthesis Using Convolutional Neural Networks
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
3DV
113
131
0
27 May 2015
Accelerating Very Deep Convolutional Networks for Classification and
  Detection
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
102
797
0
26 May 2015
An Empirical Evaluation of Current Convolutional Architectures' Ability
  to Manage Nuisance Location and Scale Variability
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability
Nikolaos Karianakis
Jingming Dong
Stefano Soatto
61
15
0
26 May 2015
Object-Proposal Evaluation Protocol is 'Gameable'
Object-Proposal Evaluation Protocol is 'Gameable'
Neelima Chavali
Harsh Agrawal
Aroma Mahendru
Dhruv Batra
83
83
0
21 May 2015
Multi-scale Volumes for Deep Object Detection and Localization
Multi-scale Volumes for Deep Object Detection and Localization
Eshed Ohn-Bar
Mohan M. Trivedi
ObjD
45
35
0
14 May 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
65
184
0
08 May 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjDSSeg
118
740
0
07 May 2015
Contextual Action Recognition with R*CNN
Contextual Action Recognition with R*CNN
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
HAI
109
403
0
05 May 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
154
2,921
0
05 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
388
25,161
0
30 Apr 2015
Mid-level Elements for Object Detection
Mid-level Elements for Object Detection
Aayush Bansal
Abhinav Shrivastava
Carl Doersch
Abhinav Gupta
ObjD
54
12
0
27 Apr 2015
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object
  Detection
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection
David Novotny
Jirí Matas
32
8
0
27 Apr 2015
Object Detection Networks on Convolutional Feature Maps
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren
Kaiming He
Ross B. Girshick
Xinming Zhang
Jian Sun
ObjD
116
409
0
23 Apr 2015
Multimodal Convolutional Neural Networks for Matching Image and Sentence
Multimodal Convolutional Neural Networks for Matching Image and Sentence
Lin Ma
Zhengdong Lu
Lifeng Shang
Hang Li
147
337
0
23 Apr 2015
Deep Spatial Pyramid: The Devil is Once Again in the Details
Deep Spatial Pyramid: The Devil is Once Again in the Details
Bin-Bin Gao
Xiu-Shen Wei
Jianxin Wu
Weiyao Lin
100
51
0
21 Apr 2015
Visual Recognition Using Directional Distribution Distance
Visual Recognition Using Directional Distribution Distance
Jianxin Wu
Bin-Bin Gao
Guoqing Liu
64
5
0
19 Apr 2015
Learning to Compare Image Patches via Convolutional Neural Networks
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
125
1,437
0
14 Apr 2015
Improving Object Detection with Deep Convolutional Networks via Bayesian
  Optimization and Structured Prediction
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
Y. Zhang
Kihyuk Sohn
Ruben Villegas
Gang Pan
Honglak Lee
ObjD
65
215
0
13 Apr 2015
Initialization Strategies of Spatio-Temporal Convolutional Neural
  Networks
Initialization Strategies of Spatio-Temporal Convolutional Neural Networks
Elman Mansimov
Nitish Srivastava
Ruslan Salakhutdinov
3DPC
86
35
0
25 Mar 2015
Boosting Convolutional Features for Robust Object Proposals
Boosting Convolutional Features for Robust Object Proposals
Nikolaos Karianakis
Thomas J. Fuchs
Stefano Soatto
OODObjD
80
29
0
21 Mar 2015
Exploiting Image-trained CNN Architectures for Unconstrained Video
  Classification
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification
Shengxin Cindy Zha
F. Luisier
Walter Andrews
Nitish Srivastava
Ruslan Salakhutdinov
110
205
0
13 Mar 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
236
1,046
0
05 Mar 2015
DeepTrack: Learning Discriminative Feature Representations Online for
  Robust Visual Tracking
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
Hanxi Li
Yi Li
Fatih Porikli
OOD
110
269
0
28 Feb 2015
Online Tracking by Learning Discriminative Saliency Map with
  Convolutional Neural Network
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
Seunghoon Hong
Tackgeun You
Suha Kwak
Bohyung Han
102
827
0
24 Feb 2015
What makes for effective detection proposals?
What makes for effective detection proposals?
J. Hosang
Rodrigo Benenson
Piotr Dollár
Bernt Schiele
ObjD
136
736
0
17 Feb 2015
A HMAX with LLC for visual recognition
A HMAX with LLC for visual recognition
Kean Hong Lau
Yong Haur Tay
Fook Loong Lo
37
14
0
10 Feb 2015
Multi-view Face Detection Using Deep Convolutional Neural Networks
Multi-view Face Detection Using Deep Convolutional Neural Networks
S. Farfade
M. Saberian
Li Li
CVBM
112
578
0
10 Feb 2015
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
565
18,688
0
06 Feb 2015
Dynamic texture and scene classification by transferring deep image
  features
Dynamic texture and scene classification by transferring deep image features
Xianbiao Qi
Chun-Guang Li
Guoying Zhao
Xiaopeng Hong
M. Pietikäinen
64
94
0
01 Feb 2015
End-to-End Photo-Sketch Generation via Fully Convolutional
  Representation Learning
End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning
Liliang Zhang
Liang Lin
X. Wu
Shengyong Ding
Lei Zhang
CVBMSSL
95
145
0
28 Jan 2015
Taking a Deeper Look at Pedestrians
Taking a Deeper Look at Pedestrians
J. Hosang
Mohamed Omran
Rodrigo Benenson
Bernt Schiele
84
350
0
23 Jan 2015
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Naiyan Wang
Siyi Li
Abhinav Gupta
Dit-Yan Yeung
91
311
0
19 Jan 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
238
8,133
0
31 Dec 2014
Deep Roto-Translation Scattering for Object Classification
Deep Roto-Translation Scattering for Object Classification
Edouard Oyallon
S. Mallat
86
232
0
30 Dec 2014
Convolutional Neural Networks for joint object detection and pose
  estimation: A comparative study
Convolutional Neural Networks for joint object detection and pose estimation: A comparative study
Francisco Massa
Mathieu Aubry
Renaud Marlet
47
18
0
22 Dec 2014
Visualizing and Comparing Convolutional Neural Networks
Visualizing and Comparing Convolutional Neural Networks
Wei Yu
Kuiyuan Yang
Yalong Bai
Huanjin Yao
Y. Rui
SSL
87
50
0
20 Dec 2014
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
92
438
0
17 Dec 2014
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