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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
Deep Feature Flow for Video Recognition
Deep Feature Flow for Video Recognition
Xizhou Zhu
Yuwen Xiong
Jifeng Dai
Lu Yuan
Yichen Wei
133
599
0
23 Nov 2016
Fully Convolutional Instance-aware Semantic Segmentation
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li
Haozhi Qi
Jifeng Dai
Xiangyang Ji
Yichen Wei
ISegSSeg
105
1,008
0
23 Nov 2016
Dense Captioning with Joint Inference and Visual Context
Dense Captioning with Joint Inference and Visual Context
L. Yang
K. Tang
Jianchao Yang
Li Li
VLM
103
170
0
21 Nov 2016
SANet: Structure-Aware Network for Visual Tracking
SANet: Structure-Aware Network for Visual Tracking
Heng Fan
Haibin Ling
110
233
0
21 Nov 2016
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
TextBoxes: A Fast Text Detector with a Single Deep Neural Network
Minghui Liao
Baoguang Shi
X. Bai
Xinggang Wang
Wenyu Liu
95
872
0
21 Nov 2016
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Yan Xu
Yang Li
Yipei Wang
Mingyuan Liu
Yubo Fan
M. Lai
E. Chang
MedIm
106
164
0
21 Nov 2016
ResFeats: Residual Network Based Features for Image Classification
ResFeats: Residual Network Based Features for Image Classification
A. Mahmood
Bennamoun
Senjian An
Ferdous Sohel
VLMSSeg
73
59
0
21 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TSSSeg
296
2,854
0
20 Nov 2016
Object Recognition with and without Objects
Object Recognition with and without Objects
Zhuotun Zhu
Lingxi Xie
Alan Yuille
OCLObjD
146
81
0
20 Nov 2016
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage
  Assessment
Nazr-CNN: Fine-Grained Classification of UAV Imagery for Damage Assessment
Nazia Attari
Ferda Ofli
Mohammad Awad
J. Lucas
Sanjay Chawla
100
44
0
20 Nov 2016
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
77
90
0
20 Nov 2016
On The Stability of Video Detection and Tracking
On The Stability of Video Detection and Tracking
Hong Zhang
Naiyan Wang
117
22
0
20 Nov 2016
LOTS about Attacking Deep Features
LOTS about Attacking Deep Features
Andras Rozsa
Manuel Günther
Terrance E. Boult
AAML
107
42
0
18 Nov 2016
Squared Earth Mover's Distance-based Loss for Training Deep Neural
  Networks
Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
L. Hou
Chen-Ping Yu
Dimitris Samaras
127
153
0
17 Nov 2016
Examining the Impact of Blur on Recognition by Convolutional Networks
Examining the Impact of Blur on Recognition by Convolutional Networks
Igor Vasiljevic
Ayan Chakrabarti
Gregory Shakhnarovich
92
198
0
17 Nov 2016
Factorized Bilinear Models for Image Recognition
Factorized Bilinear Models for Image Recognition
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
94
97
0
17 Nov 2016
Multimodal Memory Modelling for Video Captioning
Multimodal Memory Modelling for Video Captioning
Junbo Wang
Wei Wang
Yan Huang
Liang Wang
Tieniu Tan
111
142
0
17 Nov 2016
Instance-aware Image and Sentence Matching with Selective Multimodal
  LSTM
Instance-aware Image and Sentence Matching with Selective Multimodal LSTM
Yan Huang
Wei Wang
Liang Wang
114
223
0
17 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
536
10,380
0
16 Nov 2016
VisualBackProp: efficient visualization of CNNs
VisualBackProp: efficient visualization of CNNs
Mariusz Bojarski
A. Choromańska
K. Choromanski
Bernhard Firner
L. Jackel
Urs Muller
Karol Zieba
FAtt
88
74
0
16 Nov 2016
Backtracking Spatial Pyramid Pooling (SPP)-based Image Classifier for
  Weakly Supervised Top-down Salient Object Detection
Backtracking Spatial Pyramid Pooling (SPP)-based Image Classifier for Weakly Supervised Top-down Salient Object Detection
Hisham Cholakkal
Jubin Johnson
D. Rajan
50
15
0
16 Nov 2016
Image Credibility Analysis with Effective Domain Transferred Deep
  Networks
Image Credibility Analysis with Effective Domain Transferred Deep Networks
Zhiwei Jin
Juan Cao
Jiebo Luo
Yongdong Zhang
21
24
0
16 Nov 2016
Will People Like Your Image? Learning the Aesthetic Space
Will People Like Your Image? Learning the Aesthetic Space
Katharina Schwarz
P. Wieschollek
Hendrik P. A. Lensch
82
49
0
16 Nov 2016
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Zorah Lähner
Luc Van Gool
VOS
85
917
0
16 Nov 2016
Fast Task-Specific Target Detection via Graph Based Constraints Representation and Checking
Wentao Luan
Yezhou Yang
Cornelia Fermuller
John S. Baras
38
1
0
14 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
78
2,128
0
11 Nov 2016
Learning Multi-Scale Deep Features for High-Resolution Satellite Image
  Classification
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification
Qingshan Liu
Renlong Hang
Huihui Song
Zhi Li
69
31
0
11 Nov 2016
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification
Adaptive Deep Pyramid Matching for Remote Sensing Scene Classification
Qingshan Liu
Renlong Hang
Huihui Song
Fuping Zhu
J. Plaza
Antonio J. Plaza
64
34
0
11 Nov 2016
Multispectral Deep Neural Networks for Pedestrian Detection
Multispectral Deep Neural Networks for Pedestrian Detection
Jingjing Liu
Shaoting Zhang
Shu Wang
Dimitris N. Metaxas
3DH
46
364
0
08 Nov 2016
Deep Label Distribution Learning with Label Ambiguity
Deep Label Distribution Learning with Label Ambiguity
Bin-Bin Gao
Chao Xing
Chen-Wei Xie
Jianxin Wu
Xin Geng
65
432
0
06 Nov 2016
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
243
178
0
04 Nov 2016
Cross-Modal Scene Networks
Cross-Modal Scene Networks
Y. Aytar
Lluis Castrejon
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
SSL
89
114
0
27 Oct 2016
Detecting People in Artwork with CNNs
Detecting People in Artwork with CNNs
Nicholas Westlake
Hongping Cai
Peter Hall
ObjD
43
76
0
27 Oct 2016
End-to-end Learning of Deep Visual Representations for Image Retrieval
End-to-end Learning of Deep Visual Representations for Image Retrieval
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
VLM
86
543
0
25 Oct 2016
Deep image mining for diabetic retinopathy screening
Deep image mining for diabetic retinopathy screening
G. Quellec
K. Charrière
Yassine Boudi
B. Cochener
M. Lamard
MedIm
206
417
0
22 Oct 2016
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of
  Convolutional Neural Networks Approaches
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
E. Rodner
Marcel Simon
Robert B. Fisher
Joachim Denzler
73
40
0
21 Oct 2016
Bit-pragmatic Deep Neural Network Computing
Bit-pragmatic Deep Neural Network Computing
Jorge Albericio
Patrick Judd
A. Delmas
Sayeh Sharify
Andreas Moshovos
MQ
94
246
0
20 Oct 2016
Deep Identity-aware Transfer of Facial Attributes
Deep Identity-aware Transfer of Facial Attributes
Mu Li
W. Zuo
David C. Zhang
CVBM
103
149
0
18 Oct 2016
Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
Qi Dong
S. Gong
Xiatian Zhu
113
87
0
12 Oct 2016
Person Re-identification: Past, Present and Future
Person Re-identification: Past, Present and Future
Liang Zheng
Yi Yang
Alexander G. Hauptmann
159
1,102
0
10 Oct 2016
Deep Pyramidal Residual Networks
Deep Pyramidal Residual Networks
Dongyoon Han
Jiwhan Kim
Junmo Kim
136
694
0
10 Oct 2016
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets
Manuel Amthor
E. Rodner
Joachim Denzler
112
17
0
10 Oct 2016
Interpreting Neural Networks to Improve Politeness Comprehension
Interpreting Neural Networks to Improve Politeness Comprehension
Malika Aubakirova
Joey Tianyi Zhou
FAttMILM
76
56
0
09 Oct 2016
Crafting GBD-Net for Object Detection
Crafting GBD-Net for Object Detection
Xingyu Zeng
Wanli Ouyang
Junjie Yan
Hongsheng Li
Tong Xiao
...
Yucong Zhou
Binh Yang
Zhe Wang
Hui Zhou
Xiaogang Wang
ObjD
84
138
0
08 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
629
20,246
0
07 Oct 2016
Places: An Image Database for Deep Scene Understanding
Places: An Image Database for Deep Scene Understanding
Bolei Zhou
A. Khosla
Àgata Lapedriza
Antonio Torralba
A. Oliva
3DVVLMSSeg
200
460
0
06 Oct 2016
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for
  Saliency Detection
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection
Nian Liu
Junwei Han
101
190
0
06 Oct 2016
Exploiting Depth from Single Monocular Images for Object Detection and
  Semantic Segmentation
Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation
Yuanzhouhan Cao
Chunhua Shen
Heng Tao Shen
MDE
70
66
0
06 Oct 2016
Can Ground Truth Label Propagation from Video help Semantic
  Segmentation?
Can Ground Truth Label Propagation from Video help Semantic Segmentation?
Siva Karthik Mustikovela
M. Yang
Carsten Rother
105
34
0
03 Oct 2016
How Transferable are CNN-based Features for Age and Gender
  Classification?
How Transferable are CNN-based Features for Age and Gender Classification?
Gökhan Özbulak
Y. Aytar
H. K. Ekenel
CVBM
69
105
0
01 Oct 2016
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