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Rich feature hierarchies for accurate object detection and semantic
  segmentation
v1v2v3v4v5 (latest)

Rich feature hierarchies for accurate object detection and semantic segmentation

11 November 2013
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
    ObjD
ArXiv (abs)PDFHTML

Papers citing "Rich feature hierarchies for accurate object detection and semantic segmentation"

50 / 4,429 papers shown
Title
From Captions to Visual Concepts and Back
From Captions to Visual Concepts and Back
Hao Fang
Saurabh Gupta
F. Iandola
R. Srivastava
Li Deng
...
Xiaodong He
Margaret Mitchell
John C. Platt
C. L. Zitnick
Geoffrey Zweig
VLM
199
1,311
0
18 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLMMDE
223
2,685
0
18 Nov 2014
Fully Convolutional Neural Networks for Crowd Segmentation
Fully Convolutional Neural Networks for Crowd Segmentation
Kai Kang
Xiaogang Wang
SSeg
74
129
0
17 Nov 2014
Ten Years of Pedestrian Detection, What Have We Learned?
Ten Years of Pedestrian Detection, What Have We Learned?
Rodrigo Benenson
Mohamed Omran
J. Hosang
Bernt Schiele
107
714
0
16 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
110
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
Computational Baby Learning
Computational Baby Learning
Xiaodan Liang
Si Liu
Yunchao Wei
Luoqi Liu
Liang Lin
Shuicheng Yan
SSL
93
26
0
11 Nov 2014
Unifying Visual-Semantic Embeddings with Multimodal Neural Language
  Models
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
Ryan Kiros
Ruslan Salakhutdinov
R. Zemel
VLM
135
1,402
0
10 Nov 2014
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
248
8,385
0
06 Nov 2014
Convolutional Neural Network-based Place Recognition
Convolutional Neural Network-based Place Recognition
Zetao Chen
Obadiah Lam
A. Jacobson
Michael Milford
102
265
0
06 Nov 2014
Do Convnets Learn Correspondence?
Do Convnets Learn Correspondence?
Jonathan Long
Ning Zhang
Trevor Darrell
88
311
0
04 Nov 2014
DeepSentiBank: Visual Sentiment Concept Classification with Deep
  Convolutional Neural Networks
DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
Tao Chen
Damian Borth
Trevor Darrell
Shih-Fu Chang
95
286
0
30 Oct 2014
A comparison of dense region detectors for image search and fine-grained
  classification
A comparison of dense region detectors for image search and fine-grained classification
Ahmet Iscen
Giorgos Tolias
P. Gosselin
Hervé Jégou
100
59
0
29 Oct 2014
Towards a Visual Turing Challenge
Towards a Visual Turing Challenge
Mateusz Malinowski
Mario Fritz
106
74
0
29 Oct 2014
Random Sampling in an Age of Automation: Minimizing Expenditures through
  Balanced Collection and Annotation
Random Sampling in an Age of Automation: Minimizing Expenditures through Balanced Collection and Annotation
Oscar Beijbom
32
2
0
26 Oct 2014
Explain Images with Multimodal Recurrent Neural Networks
Explain Images with Multimodal Recurrent Neural Networks
Junhua Mao
Wenyuan Xu
Yi Yang
Jiang Wang
Alan Yuille
VLMGAN
129
385
0
04 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
Multiple Object Tracking: A Literature Review
Multiple Object Tracking: A Literature Review
Wenhan Luo
Junliang Xing
Anton Milan
Xiaoqin Zhang
Wei Liu
Tae-Kyun Kim
VOT
147
819
0
26 Sep 2014
Deep Learning Representation using Autoencoder for 3D Shape Retrieval
Deep Learning Representation using Autoencoder for 3D Shape Retrieval
Zhuotun Zhu
Xinggang Wang
S. Bai
Cong Yao
X. Bai
3DPC3DV
69
183
0
25 Sep 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
Detecting People in Cubist Art
Detecting People in Cubist Art
Shiry Ginosar
D. Haas
T. Brown
Jitendra Malik
99
49
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
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
564
43,805
0
17 Sep 2014
Transfer Learning for Video Recognition with Scarce Training Data for
  Deep Convolutional Neural Network
Transfer Learning for Video Recognition with Scarce Training Data for Deep Convolutional Neural Network
Yu-Chuan Su
Tzu-Hsuan Chiu
Chun-Yen Yeh
Hsinfu Huang
Winston H. Hsu
69
27
0
15 Sep 2014
Self-taught Object Localization with Deep Networks
Self-taught Object Localization with Deep Networks
Loris Bazzani
Alessandro Bergamo
Dragomir Anguelov
Lorenzo Torresani
SSLObjD
179
154
0
13 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
2.1K
100,832
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
1.8K
39,734
0
01 Sep 2014
Learning a Hierarchical Compositional Shape Vocabulary for Multi-class
  Object Representation
Learning a Hierarchical Compositional Shape Vocabulary for Multi-class Object Representation
Sanja Fidler
Marko Boben
A. Leonardis
OCL
81
26
0
23 Aug 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
83
69
0
04 Aug 2014
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory
  and Computation
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation
Philip Lenz
Andreas Geiger
R. Urtasun
VOT
122
106
0
23 Jul 2014
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
ObjD
139
1,561
0
22 Jul 2014
Pixels to Voxels: Modeling Visual Representation in the Human Brain
Pixels to Voxels: Modeling Visual Representation in the Human Brain
Pulkit Agrawal
D. Stansbury
Jitendra Malik
J. Gallant
93
102
0
18 Jul 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
132
334
0
18 Jul 2014
Part-based R-CNNs for Fine-grained Category Detection
Part-based R-CNNs for Fine-grained Category Detection
Ning Zhang
Jeff Donahue
Ross B. Girshick
Trevor Darrell
ObjD
176
1,224
0
15 Jul 2014
Learning Deep Structured Models
Learning Deep Structured Models
Liang-Chieh Chen
Alex Schwing
Alan Yuille
R. Urtasun
BDL
131
247
0
09 Jul 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjDISeg
161
1,297
0
07 Jul 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
167
445
0
07 Jul 2014
Deep Poselets for Human Detection
Deep Poselets for Human Detection
Lubomir D. Bourdev
Fei Yang
Rob Fergus
90
28
0
02 Jul 2014
How good are detection proposals, really?
How good are detection proposals, really?
J. Hosang
Rodrigo Benenson
Bernt Schiele
ObjD
96
272
0
26 Jun 2014
Deep Learning Multi-View Representation for Face Recognition
Deep Learning Multi-View Representation for Face Recognition
Zhenyao Zhu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
66
35
0
26 Jun 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
183
1,026
0
26 Jun 2014
Weakly-supervised Discovery of Visual Pattern Configurations
Weakly-supervised Discovery of Visual Pattern Configurations
Hyun Oh Song
Yong Jae Lee
Stefanie Jegelka
Trevor Darrell
WSOD
92
165
0
25 Jun 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
181
3,671
0
24 Jun 2014
Factors of Transferability for a Generic ConvNet Representation
Factors of Transferability for a Generic ConvNet Representation
Hossein Azizpour
A. Razavian
Josephine Sullivan
A. Maki
S. Carlsson
106
421
0
22 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
134
676
0
22 Jun 2014
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
Deep Fragment Embeddings for Bidirectional Image Sentence Mapping
A. Karpathy
Armand Joulin
Li Fei-Fei
VLM
125
939
0
22 Jun 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
397
14,723
0
20 Jun 2014
R-CNNs for Pose Estimation and Action Detection
R-CNNs for Pose Estimation and Action Detection
Georgia Gkioxari
Bharath Hariharan
Ross B. Girshick
Jitendra Malik
87
159
0
19 Jun 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
525
11,297
0
18 Jun 2014
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