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Rich feature hierarchies for accurate object detection and semantic
  segmentation

Rich feature hierarchies for accurate object detection and semantic segmentation

11 November 2013
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
    ObjD
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Papers citing "Rich feature hierarchies for accurate object detection and semantic segmentation"

50 / 3,518 papers shown
Title
Mid-level Deep Pattern Mining
Mid-level Deep Pattern Mining
Yao Li
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
32
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
SSeg
VLM
37
53
0
23 Nov 2014
Viewpoints and Keypoints
Viewpoints and Keypoints
Shubham Tulsiani
Jitendra Malik
46
398
0
22 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
55
676
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
SSL
GAN
35
195
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
21
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
45
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
20
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
44
754
0
18 Nov 2014
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
177
353
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
VLM
MDE
67
2,674
0
18 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
46
712
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
32
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
54
449
0
14 Nov 2014
Computational Baby Learning
Computational Baby Learning
Xiaodan Liang
Si Liu
Yunchao Wei
Luoqi Liu
Liang Lin
Shuicheng Yan
SSL
34
26
0
11 Nov 2014
Convolutional Neural Network-based Place Recognition
Convolutional Neural Network-based Place Recognition
Zetao Chen
Obadiah Lam
A. Jacobson
Michael Milford
45
264
0
06 Nov 2014
Do Convnets Learn Correspondence?
Do Convnets Learn Correspondence?
Jonathan Long
Ning Zhang
Trevor Darrell
39
312
0
04 Nov 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
27
59
0
29 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
VLM
GAN
34
383
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
50
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
43
800
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
3DPC
3DV
30
181
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
32
5
0
24 Sep 2014
Detecting People in Cubist Art
Detecting People in Cubist Art
Shiry Ginosar
D. Haas
T. Brown
Jitendra Malik
31
48
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
44
455
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
142
43,458
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
42
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
SSL
ObjD
34
153
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
80
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
336
99,822
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
436
39,328
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
31
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
40
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
57
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
68
1,558
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
34
103
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
53
335
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
72
1,223
0
15 Jul 2014
Learning Deep Structured Models
Learning Deep Structured Models
Liang-Chieh Chen
Alex Schwing
Alan Yuille
R. Urtasun
BDL
67
247
0
09 Jul 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjD
ISeg
69
1,291
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
66
442
0
07 Jul 2014
Deep Poselets for Human Detection
Deep Poselets for Human Detection
Lubomir D. Bourdev
Fei Yang
Rob Fergus
32
28
0
02 Jul 2014
How good are detection proposals, really?
How good are detection proposals, really?
J. Hosang
Rodrigo Benenson
Bernt Schiele
ObjD
22
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
29
35
0
26 Jun 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
27
3,643
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
33
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
54
671
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
VLM
BDL
3DV
114
14,696
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
37
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
92
11,160
0
18 Jun 2014
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