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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
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
123
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
1.9K
100,713
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
1.7K
39,705
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
79
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
81
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
117
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
135
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
91
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
130
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
162
1,224
0
15 Jul 2014
Learning Deep Structured Models
Learning Deep Structured Models
Liang-Chieh Chen
Alex Schwing
Alan Yuille
R. Urtasun
BDL
118
247
0
09 Jul 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjDISeg
159
1,296
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
152
445
0
07 Jul 2014
Deep Poselets for Human Detection
Deep Poselets for Human Detection
Lubomir D. Bourdev
Fei Yang
Rob Fergus
85
28
0
02 Jul 2014
How good are detection proposals, really?
How good are detection proposals, really?
J. Hosang
Rodrigo Benenson
Bernt Schiele
ObjD
94
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
64
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
160
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
90
165
0
25 Jun 2014
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
174
3,664
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
104
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
128
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
123
938
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
356
14,719
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
85
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
442
11,282
0
18 Jun 2014
Self-Learning Camera: Autonomous Adaptation of Object Detectors to
  Unlabeled Video Streams
Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams
Adrien Gaidon
Gloria Zen
Jose A. Rodríguez-Serrano
TTAObjD
56
12
0
17 Jun 2014
Bird Species Categorization Using Pose Normalized Deep Convolutional
  Nets
Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
Steve Branson
Grant Van Horn
Serge J. Belongie
Pietro Perona
108
513
0
11 Jun 2014
Deep Epitomic Convolutional Neural Networks
Deep Epitomic Convolutional Neural Networks
George Papandreou
80
7
0
10 Jun 2014
Seeing the Big Picture: Deep Embedding with Contextual Evidences
Seeing the Big Picture: Deep Embedding with Contextual Evidences
Liang Zheng
Shengjin Wang
Fei He
Q. Tian
182
20
0
01 Jun 2014
Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT
Philipp Fischer
Alexey Dosovitskiy
Thomas Brox
87
276
0
22 May 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
241
3,423
0
14 May 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
483
43,973
0
01 May 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
271
16,449
0
30 Apr 2014
Generic Object Detection With Dense Neural Patterns and Regionlets
Generic Object Detection With Dense Neural Patterns and Regionlets
Will Y. Zou
Xiaoyu Wang
Miao Sun
Yuanqing Lin
ObjD
133
66
0
16 Apr 2014
Learning Deep Convolutional Features for MRI Based Alzheimer's Disease Classification
Fayao Liu
Chunhua Shen
54
46
0
13 Apr 2014
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
F. Iandola
Matthew W. Moskewicz
Sergey Karayev
Ross B. Girshick
Trevor Darrell
Kurt Keutzer
107
291
0
07 Apr 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
167
4,953
0
23 Mar 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Yunchao Gong
Liwei Wang
Ruiqi Guo
Svetlana Lazebnik
190
1,091
0
07 Mar 2014
Rigid-Motion Scattering for Texture Classification
Rigid-Motion Scattering for Texture Classification
Laurent Sifre
S. Mallat
85
355
0
07 Mar 2014
Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing
Can Image-Level Labels Replace Pixel-Level Labels for Image Parsing
Zhiwu Lu
Zhenyong Fu
Tao Xiang
Liwei Wang
Ji-Rong Wen
187
108
0
07 Mar 2014
On learning to localize objects with minimal supervision
On learning to localize objects with minimal supervision
Hyun Oh Song
Ross B. Girshick
Stefanie Jegelka
Julien Mairal
Zaïd Harchaoui
Trevor Darrell
150
251
0
05 Mar 2014
Collaborative Receptive Field Learning
Collaborative Receptive Field Learning
Shu Kong
Zhuolin Jiang
Qiang Yang
33
4
0
02 Feb 2014
Deep learning for class-generic object detection
Deep learning for class-generic object detection
Brody Huval
Adam Coates
A. Ng
ObjDVLM
67
35
0
24 Dec 2013
One-Shot Adaptation of Supervised Deep Convolutional Models
One-Shot Adaptation of Supervised Deep Convolutional Models
Judy Hoffman
Eric Tzeng
Jeff Donahue
Yangqing Jia
Kate Saenko
Trevor Darrell
OOD
102
79
0
21 Dec 2013
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
312
14,985
1
21 Dec 2013
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network
  Training
GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training
T. Paine
Hailin Jin
Jianchao Yang
Zhe Lin
Thomas Huang
119
98
0
21 Dec 2013
Multi-digit Number Recognition from Street View Imagery using Deep
  Convolutional Neural Networks
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
Ian Goodfellow
Yaroslav Bulatov
Julian Ibarz
Sacha Arnoud
Vinay D. Shet
150
721
0
20 Dec 2013
Generic Deep Networks with Wavelet Scattering
Generic Deep Networks with Wavelet Scattering
Edouard Oyallon
S. Mallat
Laurent Sifre
81
48
0
20 Dec 2013
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