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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
v1v2v3 (latest)

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
4 June 2015
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
    AIMatObjD
ArXiv (abs)PDFHTML

Papers citing "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks"

33 / 13,133 papers shown
Human Curation and Convnets: Powering Item-to-Item Recommendations on
  Pinterest
Human Curation and Convnets: Powering Item-to-Item Recommendations on Pinterest
Dmitry Kislyuk
Yuchen Liu
David C. Liu
Eric Tzeng
Yushi Jing
138
12
0
12 Nov 2015
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with
  Deep Region-based Convolutional Networks
LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks
Guosheng Lin
Xiongwei Wu
Hantang Liu
Yue Wu
Huiqiong Wang
Hui Xue
Qiang Wu
ObjD
208
83
0
08 Nov 2015
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Shuran Song
Jianxiong Xiao
3DPC
356
700
0
07 Nov 2015
Fingertip in the Eye: A cascaded CNN pipeline for the real-time
  fingertip detection in egocentric videos
Fingertip in the Eye: A cascaded CNN pipeline for the real-time fingertip detection in egocentric videos
Xiaorui Liu
Yichao Huang
Xin Zhang
Lianwen Jin
142
14
0
07 Nov 2015
Recovering hard-to-find object instances by sampling context-based
  object proposals
Recovering hard-to-find object instances by sampling context-based object proposals
José Oramas
Tinne Tuytelaars
266
8
0
05 Nov 2015
Scale-aware Fast R-CNN for Pedestrian Detection
Scale-aware Fast R-CNN for Pedestrian Detection
Jianan Li
Xiaodan Liang
Shengmei Shen
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
362
823
0
28 Oct 2015
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object
  Detection
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
Xi Li
Liming Zhao
Lina Wei
Ming-Hsuan Yang
Leilei Gan
Yueting Zhuang
Haibin Ling
Jingdong Wang
256
507
0
19 Oct 2015
DenseBox: Unifying Landmark Localization with End to End Object
  Detection
DenseBox: Unifying Landmark Localization with End to End Object Detection
Lichao Huang
Yi Yang
Yafeng Deng
Yinan Yu
ObjD
258
483
0
16 Sep 2015
Proposal-free Network for Instance-level Object Segmentation
Proposal-free Network for Instance-level Object Segmentation
Xiaodan Liang
Yunchao Wei
Xiaohui Shen
Jianchao Yang
Liang Lin
Shuicheng Yan
SSeg
206
238
0
09 Sep 2015
Semantic Amodal Segmentation
Semantic Amodal Segmentation
Yan Zhu
Yuandong Tian
Dimitris N. Metaxas
Piotr Dollár
VLM
218
194
0
04 Sep 2015
Indexing of CNN Features for Large Scale Image Search
Indexing of CNN Features for Large Scale Image Search
Ruoyu Liu
Yao-Min Zhao
Shikui Wei
Lixin Liao
352
39
0
02 Aug 2015
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic
  Segmentation
Mapping Auto-context Decision Forests to Deep ConvNets for Semantic SegmentationBritish Machine Vision Conference (BMVC), 2015
D. L. Richmond
Dagmar Kainmüller
M. Yang
E. Myers
Carsten Rother
SSeg
247
14
0
27 Jul 2015
Discovering Characteristic Landmarks on Ancient Coins using
  Convolutional Networks
Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks
Jongpil Kim
Vladimir Pavlovic
139
17
0
30 Jun 2015
Learning to Segment Object Candidates
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
277
814
0
20 Jun 2015
End-to-end people detection in crowded scenes
End-to-end people detection in crowded scenesComputer Vision and Pattern Recognition (CVPR), 2015
Russell Stewart
Mykhaylo Andriluka
465
572
0
16 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object DetectionComputer Vision and Pattern Recognition (CVPR), 2015
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
2.3K
42,604
0
08 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 LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2015
Yao Lu
SSL
470
39
0
02 Jun 2015
Accelerating Very Deep Convolutional Networks for Classification and
  Detection
Accelerating Very Deep Convolutional Networks for Classification and DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
275
830
0
26 May 2015
An Empirical Evaluation of Current Convolutional Architectures' Ability
  to Manage Nuisance Location and Scale Variability
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale VariabilityComputer Vision and Pattern Recognition (CVPR), 2015
Nikolaos Karianakis
Jingming Dong
Stefano Soatto
217
15
0
26 May 2015
Object-Proposal Evaluation Protocol is 'Gameable'
Object-Proposal Evaluation Protocol is 'Gameable'Computer Vision and Pattern Recognition (CVPR), 2015
Neelima Chavali
Harsh Agrawal
Aroma Mahendru
Dhruv Batra
318
84
0
21 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
207
36
0
14 May 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
147
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
312
761
0
07 May 2015
Bilinear CNNs for Fine-grained Visual Recognition
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
815
1,989
0
29 Apr 2015
Object Detection Networks on Convolutional Feature Maps
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren
Kaiming He
Ross B. Girshick
Xinming Zhang
Jian Sun
ObjD
303
425
0
23 Apr 2015
DeepTrack: Learning Discriminative Feature Representations Online for
  Robust Visual Tracking
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking
Hanxi Li
Yi Li
Fatih Porikli
OOD
214
273
0
28 Feb 2015
What makes for effective detection proposals?
What makes for effective detection proposals?
J. Hosang
Rodrigo Benenson
Piotr Dollár
Bernt Schiele
ObjD
451
763
0
17 Feb 2015
Object Proposal with Kernelized Partial Ranking
Object Proposal with Kernelized Partial Ranking
Jing Wang
Jie Shen
Ping Li
297
2
0
05 Feb 2015
Parametric Image Segmentation of Humans with Structural Shape Priors
Parametric Image Segmentation of Humans with Structural Shape Priors
A. Popa
C. Sminchisescu
3DH
123
5
0
27 Jan 2015
Scalable, High-Quality Object Detection
Scalable, High-Quality Object Detection
Christian Szegedy
Scott E. Reed
D. Erhan
Dragomir Anguelov
Sergey Ioffe
ObjD
311
379
0
03 Dec 2014
Understanding image representations by measuring their equivariance and
  equivalence
Understanding image representations by measuring their equivariance and equivalenceInternational Journal of Computer Vision (IJCV), 2014
Karel Lenc
Andrea Vedaldi
SSLFAtt
393
575
0
21 Nov 2014
Multiple Object Tracking: A Literature Review
Multiple Object Tracking: A Literature ReviewArtificial Intelligence (AI), 2014
Tong Lu
Junliang Xing
Anton Milan
Xiaoqin Zhang
Wei Liu
Tae-Kyun Kim
VOT
355
924
0
26 Sep 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
156
72
0
04 Aug 2014
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