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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 / 4,266 papers shown
Title
Learning Multiple Tasks with Multilinear Relationship Networks
Learning Multiple Tasks with Multilinear Relationship Networks
Mingsheng Long
Zhangjie Cao
Jianmin Wang
Philip S. Yu
104
98
0
06 Jun 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
148
987
0
06 Jun 2015
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
326
7,414
0
05 Jun 2015
Learning to track for spatio-temporal action localization
Learning to track for spatio-temporal action localization
Philippe Weinzaepfel
Zaïd Harchaoui
Cordelia Schmid
145
339
0
05 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
581
62,732
0
04 Jun 2015
One-to-many face recognition with bilinear CNNs
One-to-many face recognition with bilinear CNNs
Aruni Roy Chowdhury
Tsung-Yu Lin
Subhransu Maji
Erik Learned-Miller
CVBM
137
115
0
03 Jun 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
244
2,547
0
03 Jun 2015
Understanding deep features with computer-generated imagery
Understanding deep features with computer-generated imagery
Mathieu Aubry
Bryan C. Russell
93
149
0
03 Jun 2015
Visualizing and Understanding Neural Models in NLP
Visualizing and Understanding Neural Models in NLP
Jiwei Li
Xinlei Chen
Eduard H. Hovy
Dan Jurafsky
MILMFAtt
93
707
0
02 Jun 2015
Unsupervised Learning on Neural Network Outputs: with Application in
  Zero-shot Learning
Unsupervised Learning on Neural Network Outputs: with Application in Zero-shot Learning
Yao Lu
SSL
176
39
0
02 Jun 2015
Visual Madlibs: Fill in the blank Image Generation and Question
  Answering
Visual Madlibs: Fill in the blank Image Generation and Question Answering
Licheng Yu
Eunbyung Park
Alexander C. Berg
Tamara L. Berg
VLMMLLM
112
99
0
31 May 2015
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network
Cross-domain Image Retrieval with a Dual Attribute-aware Ranking Network
Junshi Huang
Rogerio Feris
Qiang Chen
Shuicheng Yan
74
414
0
29 May 2015
Visual Search at Pinterest
Visual Search at Pinterest
Yushi Jing
David C. Liu
Dmitry Kislyuk
Andrew Zhai
Jiajing Xu
Jeff Donahue
Sarah Tavel
VLM
75
147
0
28 May 2015
Deep Ranking for Person Re-identification via Joint Representation
  Learning
Deep Ranking for Person Re-identification via Joint Representation Learning
Shi-Zhe Chen
Chunchao Guo
Jianhuang Lai
94
219
0
26 May 2015
Accelerating Very Deep Convolutional Networks for Classification and
  Detection
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
102
797
0
26 May 2015
Robust Optimization for Deep Regression
Robust Optimization for Deep Regression
Vasileios Belagiannis
Christian Rupprecht
G. Carneiro
Nassir Navab
3DH
180
180
0
25 May 2015
Expresso : A user-friendly GUI for Designing, Training and Exploring
  Convolutional Neural Networks
Expresso : A user-friendly GUI for Designing, Training and Exploring Convolutional Neural Networks
Ravi Kiran Sarvadevabhatla
R. Venkatesh Babu
30
1
0
25 May 2015
The Benefit of Multitask Representation Learning
The Benefit of Multitask Representation Learning
Andreas Maurer
Massimiliano Pontil
Bernardino Romera-Paredes
SSL
137
377
0
23 May 2015
A Bottom-up Approach for Pancreas Segmentation using Cascaded
  Superpixels and (Deep) Image Patch Labeling
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling
A. Farag
Le Lu
H. Roth
Jiamin Liu
E. Turkbey
Ronald M. Summers
82
153
0
22 May 2015
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation
Erroll Wood
T. Baltrušaitis
Xucong Zhang
Yusuke Sugano
Peter Robinson
Andreas Bulling
3DHCVBM
76
317
0
21 May 2015
A Multi-scale Multiple Instance Video Description Network
A Multi-scale Multiple Instance Video Description Network
Huijuan Xu
Subhashini Venugopalan
Vasili Ramanishka
Marcus Rohrbach
Kate Saenko
84
64
0
21 May 2015
Object-Proposal Evaluation Protocol is 'Gameable'
Object-Proposal Evaluation Protocol is 'Gameable'
Neelima Chavali
Harsh Agrawal
Aroma Mahendru
Dhruv Batra
81
83
0
21 May 2015
Watch and Learn: Semi-Supervised Learning of Object Detectors from
  Videos
Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos
Ishan Misra
Abhinav Shrivastava
M. Hebert
91
123
0
21 May 2015
GazeDPM: Early Integration of Gaze Information in Deformable Part Models
GazeDPM: Early Integration of Gaze Information in Deformable Part Models
I. Shcherbatyi
Andreas Bulling
Mario Fritz
87
10
0
21 May 2015
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with
  Rendered 3D Model Views
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
Hao Su
C. Qi
Yangyan Li
Leonidas Guibas
127
738
0
21 May 2015
Are You Talking to a Machine? Dataset and Methods for Multilingual Image
  Question Answering
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering
Haoyuan Gao
Junhua Mao
Jie Zhou
Zhiheng Huang
Lei Wang
Wenyuan Xu
88
503
0
21 May 2015
Multi-scale recognition with DAG-CNNs
Multi-scale recognition with DAG-CNNs
Songfan Yang
Deva Ramanan
BDL
71
205
0
20 May 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRLSSL
186
2,795
0
19 May 2015
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for
  Richer Image-to-Sentence Models
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models
Bryan A. Plummer
Liwei Wang
Christopher M. Cervantes
Juan C. Caicedo
Julia Hockenmaier
Svetlana Lazebnik
234
2,080
0
19 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
2.1K
77,813
0
18 May 2015
Visual Semantic Role Labeling
Visual Semantic Role Labeling
Saurabh Gupta
Jitendra Malik
97
408
0
17 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
311
4,179
0
17 May 2015
Improving Image Classification with Location Context
Improving Image Classification with Location Context
K. Tang
Manohar Paluri
Li Fei-Fei
Rob Fergus
Lubomir D. Bourdev
SSL
88
122
0
14 May 2015
Multi-scale Volumes for Deep Object Detection and Localization
Multi-scale Volumes for Deep Object Detection and Localization
Eshed Ohn-Bar
Mohan M. Trivedi
ObjD
45
35
0
14 May 2015
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Ziyu Zhang
Alex Schwing
Sanja Fidler
R. Urtasun
131
158
0
12 May 2015
Improving Computer-aided Detection using Convolutional Neural Networks
  and Random View Aggregation
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
H. Roth
Le Lu
Jiamin Liu
Jianhua Yao
Ari Seff
Kevin M. Cherry
Lauren Kim
Ronald M. Summers
MedIm
99
559
0
12 May 2015
Deep Learning for Semantic Part Segmentation with High-Level Guidance
Deep Learning for Semantic Part Segmentation with High-Level Guidance
Stavros Tsogkas
Iasonas Kokkinos
George Papandreou
A. Vedaldi
SSeg
91
32
0
10 May 2015
Subset Feature Learning for Fine-Grained Category Classification
Subset Feature Learning for Fine-Grained Category Classification
Zongyuan Ge
Chris McCool
Conrad Sanderson
Peter Corke
53
56
0
09 May 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
65
184
0
08 May 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjDSSeg
118
739
0
07 May 2015
Learning to See by Moving
Learning to See by Moving
Pulkit Agrawal
João Carreira
Jitendra Malik
SSL
92
555
0
07 May 2015
Webly Supervised Learning of Convolutional Networks
Webly Supervised Learning of Convolutional Networks
Xinlei Chen
Abhinav Gupta
SSL
117
373
0
07 May 2015
Contextual Action Recognition with R*CNN
Contextual Action Recognition with R*CNN
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
HAI
109
403
0
05 May 2015
Deep Learning for Object Saliency Detection and Image Segmentation
Deep Learning for Object Saliency Detection and Image Segmentation
H. Pan
Bo Wang
Hui Jiang
63
18
0
05 May 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
215
3,227
0
05 May 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
154
2,921
0
05 May 2015
Unsupervised Learning of Visual Representations using Videos
Unsupervised Learning of Visual Representations using Videos
Xinyu Wang
Abhinav Gupta
SSL
104
232
0
04 May 2015
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation
  by Differentiating HOG
See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG
Walon Wei-Chen Chiu
Mario Fritz
86
15
0
04 May 2015
Dense Optical Flow Prediction from a Static Image
Dense Optical Flow Prediction from a Static Image
Jacob Walker
Abhinav Gupta
M. Hebert
117
210
0
02 May 2015
Joint Object and Part Segmentation using Deep Learned Potentials
Joint Object and Part Segmentation using Deep Learned Potentials
Peng Wang
Xiaohui Shen
Zhe Lin
Scott D. Cohen
Brian L. Price
Alan Yuille
93
123
0
01 May 2015
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