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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
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
496
18,677
0
06 Feb 2015
Text Understanding from Scratch
Text Understanding from Scratch
Xiang Zhang
Yann LeCun
84
558
0
05 Feb 2015
Object Proposal with Kernelized Partial Ranking
Object Proposal with Kernelized Partial Ranking
Jing Wang
Jie Shen
Ping Li
57
2
0
05 Feb 2015
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image
  Segmentation and Cosegmentation
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation
Erik Cambria
Fanman Meng
Jianfei Cai
Shijian Lu
SSeg3DV
113
231
0
03 Feb 2015
Freehand Sketch Recognition Using Deep Features
Freehand Sketch Recognition Using Deep Features
Ravi Kiran Sarvadevabhatla
R. Venkatesh Babu
59
36
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
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
F. Zhao
Yongzhen Huang
Liang Wang
Tieniu Tan
111
611
0
26 Jan 2015
3D Human Activity Recognition with Reconfigurable Convolutional Neural
  Networks
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks
Keze Wang
Xinyu Wang
Liang Lin
Ming Wang
W. Zuo
BDLHAI
69
119
0
26 Jan 2015
Unsupervised Object Discovery and Localization in the Wild: Part-based
  Matching with Bottom-up Region Proposals
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals
Minsu Cho
Suha Kwak
Cordelia Schmid
Jean Ponce
99
280
0
25 Jan 2015
Taking a Deeper Look at Pedestrians
Taking a Deeper Look at Pedestrians
J. Hosang
Mohamed Omran
Rodrigo Benenson
Bernt Schiele
70
350
0
23 Jan 2015
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
Ning Zhang
Manohar Paluri
Yaniv Taigman
Rob Fergus
Lubomir D. Bourdev
CVBM
103
156
0
23 Jan 2015
Deep Convolutional Neural Networks for Action Recognition Using Depth
  Map Sequences
Deep Convolutional Neural Networks for Action Recognition Using Depth Map Sequences
Pichao Wang
W. Li
Zhimin Gao
Jing Zhang
Chang-Fu Tang
P. Ogunbona
74
46
0
20 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
Robust Visual Tracking via Convolutional Networks
Robust Visual Tracking via Convolutional Networks
Kaihua Zhang
Qingshan Liu
Yi Wu
Ming-Hsuan Yang
VOT
75
17
0
19 Jan 2015
On the Performance of ConvNet Features for Place Recognition
On the Performance of ConvNet Features for Place Recognition
Niko Sünderhauf
Feras Dayoub
S. Shirazi
B. Upcroft
Michael Milford
107
533
0
17 Jan 2015
Deep Image: Scaling up Image Recognition
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
VLM
125
375
0
13 Jan 2015
Analysing domain shift factors between videos and images for object
  detection
Analysing domain shift factors between videos and images for object detection
Vicky Kalogeiton
V. Ferrari
Cordelia Schmid
128
67
0
06 Jan 2015
Object localization in ImageNet by looking out of the window
Object localization in ImageNet by looking out of the window
A. Vezhnevets
V. Ferrari
SSeg
47
4
0
06 Jan 2015
Salient Object Detection: A Benchmark
Salient Object Detection: A Benchmark
Ali Borji
Ming-Ming Cheng
Huaizu Jiang
Jia Li
135
1,731
0
05 Jan 2015
ModDrop: adaptive multi-modal gesture recognition
ModDrop: adaptive multi-modal gesture recognition
Natalia Neverova
Christian Wolf
Graham W. Taylor
Florian Nebout
135
297
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
Detect2Rank : Combining Object Detectors Using Learning to Rank
Detect2Rank : Combining Object Detectors Using Learning to Rank
Sezer Karaoglu
Yang Liu
Theo Gevers
ObjD
55
20
0
26 Dec 2014
Fully Convolutional Multi-Class Multiple Instance Learning
Fully Convolutional Multi-Class Multiple Instance Learning
Deepak Pathak
Evan Shelhamer
Jonathan Long
Trevor Darrell
SSL
134
316
0
22 Dec 2014
Learning Deep Object Detectors from 3D Models
Learning Deep Object Detectors from 3D Models
Xingchao Peng
Baochen Sun
Karim Ali
Kate Saenko
3DPC3DV
90
59
0
22 Dec 2014
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
249
4,909
0
22 Dec 2014
Attention for Fine-Grained Categorization
Attention for Fine-Grained Categorization
P. Sermanet
Andrea Frome
Esteban Real
101
160
0
22 Dec 2014
Contour Detection Using Cost-Sensitive Convolutional Neural Networks
Contour Detection Using Cost-Sensitive Convolutional Neural Networks
Jyh-Jing Hwang
Tyng-Luh Liu
59
3
0
22 Dec 2014
Object Detectors Emerge in Deep Scene CNNs
Object Detectors Emerge in Deep Scene CNNs
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
ObjD
166
1,284
0
22 Dec 2014
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Junhua Mao
Wenyuan Xu
Yi Yang
Jiang Wang
Zhiheng Huang
Alan Yuille
VLM
208
1,241
0
20 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
Video (language) modeling: a baseline for generative models of natural
  videos
Video (language) modeling: a baseline for generative models of natural videos
MarcÁurelio Ranzato
Arthur Szlam
Joan Bruna
Michaël Mathieu
R. Collobert
S. Chopra
VGen
139
472
0
20 Dec 2014
An Analysis of Unsupervised Pre-training in Light of Recent Advances
An Analysis of Unsupervised Pre-training in Light of Recent Advances
T. Paine
Pooya Khorrami
Wei Han
Thomas S. Huang
SSL
160
56
0
20 Dec 2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Scott E. Reed
Honglak Lee
Dragomir Anguelov
Christian Szegedy
D. Erhan
Andrew Rabinovich
NoLa
133
1,023
0
20 Dec 2014
Fracking Deep Convolutional Image Descriptors
Fracking Deep Convolutional Image Descriptors
E. Simo-Serra
Eduard Trulls
Luis Ferraz
Iasonas Kokkinos
Francesc Moreno-Noguer
84
70
0
19 Dec 2014
Pooled Motion Features for First-Person Videos
Pooled Motion Features for First-Person Videos
Michael S. Ryoo
B. Rothrock
Larry Matthies
86
182
0
19 Dec 2014
Generative Modeling of Convolutional Neural Networks
Generative Modeling of Convolutional Neural Networks
Jifeng Dai
Ying Nian Wu
Ying-Nian Wu
109
75
0
19 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
187
1,173
0
18 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
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
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
191
2,610
0
10 Dec 2014
Real-Time Grasp Detection Using Convolutional Neural Networks
Real-Time Grasp Detection Using Convolutional Neural Networks
Joseph Redmon
A. Angelova
121
796
0
09 Dec 2014
Actions and Attributes from Wholes and Parts
Actions and Attributes from Wholes and Parts
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
99
147
0
08 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
158
5,600
0
07 Dec 2014
Reading Text in the Wild with Convolutional Neural Networks
Reading Text in the Wild with Convolutional Neural Networks
Max Jaderberg
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
134
1,169
0
04 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
84
32
0
04 Dec 2014
Parsing Occluded People by Flexible Compositions
Parsing Occluded People by Flexible Compositions
Xianjie Chen
Alan Yuille
96
77
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
121
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
99
444
0
03 Dec 2014
Detector Discovery in the Wild: Joint Multiple Instance and
  Representation Learning
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning
Judy Hoffman
Deepak Pathak
Trevor Darrell
Kate Saenko
98
77
0
02 Dec 2014
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