ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1504.08083
  4. Cited By
Fast R-CNN

Fast R-CNN

30 April 2015
Ross B. Girshick
    ObjD
ArXivPDFHTML

Papers citing "Fast R-CNN"

50 / 2,546 papers shown
Title
YouTube-8M: A Large-Scale Video Classification Benchmark
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija
Nisarg Kothari
Joonseok Lee
Apostol Natsev
G. Toderici
Balakrishnan Varadarajan
Sudheendra Vijayanarasimhan
VLM
13
1,261
0
27 Sep 2016
On Support Relations and Semantic Scene Graphs
On Support Relations and Semantic Scene Graphs
M. Yang
Wentong Liao
H. Ackermann
Bodo Rosenhahn
GNN
11
60
0
19 Sep 2016
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Senthil Purushwalkam
Abhinav Gupta
SSL
12
23
0
18 Sep 2016
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised
  Localization
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization
Vadim Kantorov
Maxime Oquab
Minsu Cho
Ivan Laptev
WSOL
11
304
0
14 Sep 2016
Crafting a multi-task CNN for viewpoint estimation
Crafting a multi-task CNN for viewpoint estimation
Francisco Massa
Renaud Marlet
Mathieu Aubry
13
77
0
13 Sep 2016
The Role of Context Selection in Object Detection
The Role of Context Selection in Object Detection
Ruichi Yu
Xi Chen
Vlad I. Morariu
L. Davis
14
42
0
09 Sep 2016
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Anurag Arnab
Philip H. S. Torr
SSeg
15
52
0
08 Sep 2016
3D Object Proposals using Stereo Imagery for Accurate Object Class
  Detection
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
Xiaozhi Chen
Kaustav Kundu
Yukun Zhu
Huimin Ma
Sanja Fidler
R. Urtasun
3DPC
13
365
0
27 Aug 2016
Photo Filter Recommendation by Category-Aware Aesthetic Learning
Photo Filter Recommendation by Category-Aware Aesthetic Learning
Wei-Tse Sun
T. Chao
Y. Kuo
Winston H. Hsu
25
44
0
18 Aug 2016
Solving Visual Madlibs with Multiple Cues
Solving Visual Madlibs with Multiple Cues
Tatiana Tommasi
Arun Mallya
Bryan A. Plummer
Svetlana Lazebnik
Alexander C. Berg
Tamara L. Berg
26
18
0
11 Aug 2016
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns
DeepCAMP: Deep Convolutional Action & Attribute Mid-Level Patterns
Ali Diba
A. Pazandeh
Hamed Pirsiavash
Luc Van Gool
19
47
0
10 Aug 2016
Convolutional Oriented Boundaries
Convolutional Oriented Boundaries
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbelaez
Luc Van Gool
13
231
0
09 Aug 2016
Bootstrapping Face Detection with Hard Negative Examples
Bootstrapping Face Detection with Hard Negative Examples
Shaohua Wan
Zhijun Chen
Zhang Tao
Bo Zhang
Kong-kat Wong
CVBM
ObjD
27
60
0
07 Aug 2016
Modeling Context in Referring Expressions
Modeling Context in Referring Expressions
Licheng Yu
Patrick Poirson
Shan Yang
Alexander C. Berg
Tamara L. Berg
28
1,223
0
31 Jul 2016
Deep FisherNet for Object Classification
Deep FisherNet for Object Classification
Peng Tang
Xinggang Wang
Baoguang Shi
X. Bai
Wenyu Liu
Z. Tu
24
39
0
31 Jul 2016
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple
  Objects
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects
M. Keuper
Siyu Tang
Zhongjie Yu
Bjoern Andres
Thomas Brox
Bernt Schiele
19
90
0
21 Jul 2016
Spatially Supervised Recurrent Convolutional Neural Networks for Visual
  Object Tracking
Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking
G. Ning
Zhi Zhang
Chen Huang
Zhihai He
Xiaobo Ren
Haohong Wang
18
245
0
19 Jul 2016
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation
DAVE: A Unified Framework for Fast Vehicle Detection and Annotation
Yi Zhou
Li Liu
Ling Shao
Matt Mellor
16
81
0
15 Jul 2016
Do semantic parts emerge in Convolutional Neural Networks?
Do semantic parts emerge in Convolutional Neural Networks?
Abel Gonzalez-Garcia
Davide Modolo
V. Ferrari
150
113
0
13 Jul 2016
End-to-end training of object class detectors for mean average precision
End-to-end training of object class detectors for mean average precision
Paul Henderson
V. Ferrari
ObjD
27
257
0
12 Jul 2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
24
74
0
12 Jul 2016
Gland Instance Segmentation by Deep Multichannel Side Supervision
Gland Instance Segmentation by Deep Multichannel Side Supervision
Yan Xu
Yang Li
Mingyuan Liu
Yipei Wang
M. Lai
E. Chang
MedIm
35
109
0
12 Jul 2016
An Uncertain Future: Forecasting from Static Images using Variational
  Autoencoders
An Uncertain Future: Forecasting from Static Images using Variational Autoencoders
Jacob Walker
Carl Doersch
Abhinav Gupta
M. Hebert
VGen
15
512
0
25 Jun 2016
Saliency Driven Object recognition in egocentric videos with deep CNN
Saliency Driven Object recognition in egocentric videos with deep CNN
P. Roman
J. Benois-Pineau
J. Domenger
F. Paclet
D. Cattaert
A. Rugy
27
32
0
23 Jun 2016
FVQA: Fact-based Visual Question Answering
FVQA: Fact-based Visual Question Answering
Peng Wang
Qi Wu
Chunhua Shen
Anton van den Hengel
A. Dick
CoGe
33
453
0
17 Jun 2016
DeepProposals: Hunting Objects and Actions by Cascading Deep
  Convolutional Layers
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers
Amir Ghodrati
Ali Diba
M. Pedersoli
Tinne Tuytelaars
Luc Van Gool
ObjD
16
20
0
15 Jun 2016
Attend Refine Repeat: Active Box Proposal Generation via In-Out
  Localization
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
Spyridon Gidaris
N. Komodakis
ObjD
19
79
0
14 Jun 2016
Universal Correspondence Network
Universal Correspondence Network
Chris Choy
JunYoung Gwak
Silvio Savarese
Manmohan Chandraker
15
367
0
11 Jun 2016
Face Detection with the Faster R-CNN
Face Detection with the Faster R-CNN
Huaizu Jiang
Erik Learned-Miller
CVBM
ObjD
22
665
0
10 Jun 2016
Integrated perception with recurrent multi-task neural networks
Integrated perception with recurrent multi-task neural networks
Hakan Bilen
Andrea Vedaldi
ObjD
19
93
0
06 Jun 2016
Shallow Networks for High-Accuracy Road Object-Detection
Shallow Networks for High-Accuracy Road Object-Detection
Khalid Ashraf
Bichen Wu
F. Iandola
Matthew W. Moskewicz
Kurt Keutzer
ObjD
24
53
0
05 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
20
18,028
0
02 Jun 2016
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Yunzhu Li
Benyuan Sun
Tianfu Wu
Yizhou Wang
CVBM
3DH
19
129
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
18
141
0
31 May 2016
Self Paced Deep Learning for Weakly Supervised Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto
Moin Nabi
D. Ćulibrk
N. Sebe
WSOD
SSL
17
115
0
24 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
24
127
0
20 May 2016
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation
  Model
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
Eldar Insafutdinov
L. Pishchulin
Bjoern Andres
Mykhaylo Andriluka
Bernt Schiele
3DH
14
1,108
0
10 May 2016
Detecting Ground Control Points via Convolutional Neural Network for
  Stereo Matching
Detecting Ground Control Points via Convolutional Neural Network for Stereo Matching
Zhun Zhong
Songzhi Su
Donglin Cao
Shaozi Li
16
8
0
08 May 2016
InterActive: Inter-Layer Activeness Propagation
InterActive: Inter-Layer Activeness Propagation
Lingxi Xie
Liang Zheng
Jingdong Wang
Alan Yuille
Qi Tian
FAtt
25
45
0
30 Apr 2016
Synthetic Data for Text Localisation in Natural Images
Synthetic Data for Text Localisation in Natural Images
Ankush Gupta
Andrea Vedaldi
Andrew Zisserman
31
1,417
0
22 Apr 2016
Automatic Graphic Logo Detection via Fast Region-based Convolutional
  Networks
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks
Gonçalo Oliveira
Xavier Frazão
A. Pimentel
B. Ribeiro
21
44
0
20 Apr 2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic
  Labeling
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
J. Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
SSeg
19
173
0
18 Apr 2016
Deep Aesthetic Quality Assessment with Semantic Information
Deep Aesthetic Quality Assessment with Semantic Information
Yueying Kao
R. He
Kaiqi Huang
24
154
0
18 Apr 2016
Learning Models for Actions and Person-Object Interactions with Transfer
  to Question Answering
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
Arun Mallya
Svetlana Lazebnik
31
119
0
16 Apr 2016
Subcategory-aware Convolutional Neural Networks for Object Proposals and
  Detection
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection
Yu Xiang
Wongun Choi
Yuanqing Lin
Silvio Savarese
ObjD
14
281
0
16 Apr 2016
High-performance Semantic Segmentation Using Very Deep Fully
  Convolutional Networks
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
Zifeng Wu
Chunhua Shen
A. Hengel
SSeg
17
130
0
15 Apr 2016
Deep Residual Networks with Exponential Linear Unit
Deep Residual Networks with Exponential Linear Unit
Anish Shah
Eashan Kadam
Hena Shah
Sameer Shinde
Sandip Shingade
28
120
0
14 Apr 2016
Training Region-based Object Detectors with Online Hard Example Mining
Training Region-based Object Detectors with Online Hard Example Mining
Abhinav Shrivastava
Abhinav Gupta
Ross B. Girshick
ObjD
49
2,399
0
12 Apr 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
17
1,336
0
12 Apr 2016
CRAFT Objects from Images
CRAFT Objects from Images
Bin Yang
Junjie Yan
Zhen Lei
Stan Z. Li
ObjD
19
123
0
12 Apr 2016
Previous
123...495051
Next