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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 / 3,956 papers shown
Title
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour
  Detection
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
92
470
0
02 Dec 2014
Feedforward semantic segmentation with zoom-out features
Feedforward semantic segmentation with zoom-out features
Mohammadreza Mostajabi
Payman Yadollahpour
Gregory Shakhnarovich
MDESSeg
189
474
0
02 Dec 2014
Learning Spatiotemporal Features with 3D Convolutional Networks
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran
Lubomir D. Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
3DPC
117
411
0
02 Dec 2014
Material Recognition in the Wild with the Materials in Context Database
Material Recognition in the Wild with the Materials in Context Database
Sean Bell
P. Upchurch
Noah Snavely
Kavita Bala
116
527
0
01 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
Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised
  Detection in Images
Multiple Instance Reinforcement Learning for Efficient Weakly-Supervised Detection in Images
Stefan Mathe
C. Sminchisescu
67
12
0
29 Nov 2014
Articulated motion discovery using pairs of trajectories
Articulated motion discovery using pairs of trajectories
Luca Del Pero
Susanna Ricco
Rahul Sukthankar
V. Ferrari
113
41
0
28 Nov 2014
3D-Assisted Image Feature Synthesis for Novel Views of an Object
3D-Assisted Image Feature Synthesis for Novel Views of an Object
Hao Su
F. Wang
L. Yi
Leonidas Guibas
DiffM
102
29
0
26 Nov 2014
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for
  Image Annotation
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation
Benjamin Klein
Guy Lev
Gil Sadeh
Lior Wolf
106
102
0
26 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
56
0
25 Nov 2014
Persistent Evidence of Local Image Properties in Generic ConvNets
Persistent Evidence of Local Image Properties in Generic ConvNets
A. Razavian
Hossein Azizpour
A. Maki
Josephine Sullivan
Carl Henrik Ek
S. Carlsson
SSL
65
6
0
24 Nov 2014
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng Zhang
236
792
0
24 Nov 2014
Mid-level Deep Pattern Mining
Mid-level Deep Pattern Mining
Yao Li
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
88
100
0
24 Nov 2014
From Image-level to Pixel-level Labeling with Convolutional Networks
From Image-level to Pixel-level Labeling with Convolutional Networks
Pedro H. O. Pinheiro
R. Collobert
SSegVLM
118
53
0
23 Nov 2014
Category-Specific Object Reconstruction from a Single Image
Category-Specific Object Reconstruction from a Single Image
Abhishek Kar
Shubham Tulsiani
João Carreira
Jitendra Malik
3DV
78
287
0
22 Nov 2014
Viewpoints and Keypoints
Viewpoints and Keypoints
Shubham Tulsiani
Jitendra Malik
81
398
0
22 Nov 2014
Finding Action Tubes
Finding Action Tubes
Georgia Gkioxari
Jitendra Malik
90
599
0
21 Nov 2014
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Learning to Generate Chairs, Tables and Cars with Convolutional Networks
Alexey Dosovitskiy
Jost Tobias Springenberg
Maxim Tatarchenko
Thomas Brox
GAN
203
676
0
21 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
152
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
1,596
0
21 Nov 2014
Learning a Recurrent Visual Representation for Image Caption Generation
Learning a Recurrent Visual Representation for Image Caption Generation
Xinlei Chen
C. L. Zitnick
SSLGAN
124
196
0
20 Nov 2014
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image
  Collections
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections
Bolei Zhou
Vignesh Jagadeesh
Robinson Piramuthu
VLM
62
47
0
19 Nov 2014
Fashion Apparel Detection: The Role of Deep Convolutional Neural Network
  and Pose-dependent Priors
Fashion Apparel Detection: The Role of Deep Convolutional Neural Network and Pose-dependent Priors
Kota Hara
Vignesh Jagadeesh
Robinson Piramuthu
CVBM
81
47
0
19 Nov 2014
End-to-End Integration of a Convolutional Network, Deformable Parts
  Model and Non-Maximum Suppression
End-to-End Integration of a Convolutional Network, Deformable Parts Model and Non-Maximum Suppression
Li Wan
David Eigen
Rob Fergus
97
99
0
19 Nov 2014
A Pooling Approach to Modelling Spatial Relations for Image Retrieval
  and Annotation
A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation
Mateusz Malinowski
Mario Fritz
68
29
0
19 Nov 2014
Salient Object Detection: A Survey
Salient Object Detection: A Survey
Ali Borji
Ming-Ming Cheng
Qibin Hou
Huaizu Jiang
Jia Li
151
763
0
18 Nov 2014
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DVSSL
282
356
0
18 Nov 2014
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
183
1,312
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
104
713
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
102
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
108
451
0
14 Nov 2014
Computational Baby Learning
Computational Baby Learning
Xiaodan Liang
Si Liu
Yunchao Wei
Luoqi Liu
Liang Lin
Shuicheng Yan
SSL
91
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
242
8,379
0
06 Nov 2014
Convolutional Neural Network-based Place Recognition
Convolutional Neural Network-based Place Recognition
Zetao Chen
Obadiah Lam
A. Jacobson
Michael Milford
99
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
98
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
127
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
138
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
145
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
67
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
543
43,764
0
17 Sep 2014
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