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Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

10 December 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Deep Residual Learning for Image Recognition"

50 / 38,494 papers shown
Title
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
107
2,467
0
21 May 2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Yani Andrew Ioannou
D. Robertson
R. Cipolla
A. Criminisi
111
266
0
20 May 2016
Swapout: Learning an ensemble of deep architectures
Swapout: Learning an ensemble of deep architectures
Saurabh Singh
Derek Hoiem
David A. Forsyth
BDL3DPCOODUQCV
71
150
0
20 May 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit
Michael J. Wilber
Serge J. Belongie
UQCV
91
107
0
20 May 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
215
5,656
0
20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
90
127
0
20 May 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
Julien Mairal
SSL
79
131
0
20 May 2016
Localizing by Describing: Attribute-Guided Attention Localization for
  Fine-Grained Recognition
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
Xiao-Chang Liu
Jiang Wang
Shilei Wen
Errui Ding
Yuanqing Lin
59
78
0
20 May 2016
HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in
  Social Networks
HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks
Minseok Park
Hanxiang Li
Junmo Kim
3DVVLM
20
26
0
17 May 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
101
616
0
16 May 2016
Ternary Weight Networks
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo Zhang
Junchi Yan
MQ
101
527
0
16 May 2016
ASP Vision: Optically Computing the First Layer of Convolutional Neural
  Networks using Angle Sensitive Pixels
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels
H. G. Chen
Suren Jayasuriya
Jiyue Yang
J. Stephen
S. Sivaramakrishnan
Ashok Veeraraghavan
A. Molnar
96
66
0
11 May 2016
Review of state-of-the-arts in artificial intelligence with application
  to AI safety problem
Review of state-of-the-arts in artificial intelligence with application to AI safety problem
V. Shakirov
66
10
0
11 May 2016
Deep Neural Networks Under Stress
Deep Neural Networks Under Stress
Micael Carvalho
Matthieu Cord
Sandra Avila
Nicolas Thome
Eduardo Valle
61
14
0
11 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
116
1,111
0
10 May 2016
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering
Mateusz Malinowski
Marcus Rohrbach
Mario Fritz
113
101
0
09 May 2016
Estimating Depth from Monocular Images as Classification Using Deep
  Fully Convolutional Residual Networks
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks
Yuanzhouhan Cao
Zifeng Wu
Chunhua Shen
MDE
134
407
0
08 May 2016
Laplacian Pyramid Reconstruction and Refinement for Semantic
  Segmentation
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation
Golnaz Ghiasi
Charless C. Fowlkes
SSeg
74
49
0
08 May 2016
All Weather Perception: Joint Data Association, Tracking, and
  Classification for Autonomous Ground Vehicles
All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles
P. Radecki
M. Campbell
Kevin Blackburn-Matzen
61
32
0
07 May 2016
Adversarial Diversity and Hard Positive Generation
Adversarial Diversity and Hard Positive Generation
Andras Rozsa
Ethan M. Rudd
Terrance E. Boult
112
257
0
05 May 2016
Maximal Sparsity with Deep Networks?
Maximal Sparsity with Deep Networks?
Bo Xin
Yizhou Wang
Wen Gao
David Wipf
3DPC
86
7
0
05 May 2016
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic
  Object Classification
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification
Shayegan Omidshafiei
B. Lopez
Jonathan P. How
J. Vian
60
13
0
03 May 2016
Compression Artifacts Removal Using Convolutional Neural Networks
Compression Artifacts Removal Using Convolutional Neural Networks
P. Svoboda
Michal Hradiš
David Barina
P. Zemčík
86
144
0
02 May 2016
Higher Order Recurrent Neural Networks
Higher Order Recurrent Neural Networks
Rohollah Soltani
Hui Jiang
67
126
0
30 Apr 2016
Deep Convolutional Neural Networks on Cartoon Functions
Deep Convolutional Neural Networks on Cartoon Functions
Philipp Grohs
Thomas Wiatowski
Helmut Bölcskei
77
25
0
29 Apr 2016
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution
Wenhan Yang
Jiashi Feng
Jianchao Yang
F. Zhao
Jiaying Liu
Zongming Guo
Shuicheng Yan
SupR
72
201
0
29 Apr 2016
Towards Better Analysis of Deep Convolutional Neural Networks
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu
Jiaxin Shi
Zerui Li
Chongxuan Li
Jun Zhu
Shixia Liu
HAI
127
477
0
24 Apr 2016
Training Deep Nets with Sublinear Memory Cost
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen
Bing Xu
Chiyuan Zhang
Carlos Guestrin
141
1,176
0
21 Apr 2016
Network of Experts for Large-Scale Image Categorization
Network of Experts for Large-Scale Image Categorization
Karim Ahmed
M. H. Baig
Lorenzo Torresani
99
126
0
20 Apr 2016
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length
  Image Tagging
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image Tagging
Jiren Jin
Hideki Nakayama
3DVVLM
109
69
0
18 Apr 2016
Selective Convolutional Descriptor Aggregation for Fine-Grained Image
  Retrieval
Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval
Xiu-Shen Wei
Jian-Hao Luo
Jianxin Wu
Zhi Zhou
85
409
0
18 Apr 2016
Deep Aesthetic Quality Assessment with Semantic Information
Deep Aesthetic Quality Assessment with Semantic Information
Yueying Kao
Ran He
Kaiqi Huang
78
158
0
18 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
Anton Van Den Hengel
SSeg
86
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
119
121
0
14 Apr 2016
Deep Feature Based Contextual Model for Object Detection
Deep Feature Based Contextual Model for Object Detection
Wenqing Chu
Deng Cai
ObjD
75
73
0
14 Apr 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
262
257
0
13 Apr 2016
Going Deeper with Contextual CNN for Hyperspectral Image Classification
Going Deeper with Contextual CNN for Hyperspectral Image Classification
Hyungtae Lee
H. Kwon
66
805
0
12 Apr 2016
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment
  Prediction
From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
45
188
0
12 Apr 2016
Using Deep Learning for Image-Based Plant Disease Detection
Using Deep Learning for Image-Based Plant Disease Detection
Sharada Mohanty
David P. Hughes
M. Salathé
62
3,157
0
11 Apr 2016
Hardware-oriented Approximation of Convolutional Neural Networks
Hardware-oriented Approximation of Convolutional Neural Networks
Philipp Gysel
Mohammad Motamedi
S. Ghiasi
125
310
0
11 Apr 2016
Binarized Neural Networks on the ImageNet Classification Task
Binarized Neural Networks on the ImageNet Classification Task
Xundong Wu
Yong Wu
Yong Zhao
MQ
74
22
0
11 Apr 2016
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation
Hao Chen
Xiaojuan Qi
Lequan Yu
Pheng-Ann Heng
MedIm
100
580
0
10 Apr 2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection
  from Videos
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
Kai Kang
Hongsheng Li
Junjie Yan
Xingyu Zeng
Binh Yang
...
Cong Zhang
Zhe Wang
Ruohui Wang
Xiaogang Wang
Wanli Ouyang
ObjD
118
477
0
09 Apr 2016
Person Re-identification in the Wild
Person Re-identification in the Wild
Liang Zheng
Hengheng Zhang
Shaoyan Sun
Manmohan Chandraker
Yi Yang
Q. Tian
81
690
0
09 Apr 2016
Norm-preserving Orthogonal Permutation Linear Unit Activation Functions
  (OPLU)
Norm-preserving Orthogonal Permutation Linear Unit Activation Functions (OPLU)
Artem Chernodub
D. Nowicki
70
28
0
08 Apr 2016
Infrared Colorization Using Deep Convolutional Neural Networks
Infrared Colorization Using Deep Convolutional Neural Networks
Matthias Limmer
Hendrik P. A. Lensch
102
142
0
08 Apr 2016
A MultiPath Network for Object Detection
A MultiPath Network for Object Detection
Sergey Zagoruyko
Adam Lerer
Nayeon Lee
Pedro H. O. Pinheiro
Sam Gross
Soumith Chintala
Piotr Dollár
ObjD
86
215
0
07 Apr 2016
Joint Detection and Identification Feature Learning for Person Search
Joint Detection and Identification Feature Learning for Person Search
Tong Xiao
Shuang Li
Bochao Wang
Liang Lin
Xiaogang Wang
134
827
0
07 Apr 2016
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object
  Recognition
Correlated and Individual Multi-Modal Deep Learning for RGB-D Object Recognition
Ziyan Wang
Jiwen Lu
Ruogu Lin
Jianjiang Feng
Jie zhou
100
29
0
06 Apr 2016
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
68
55
0
06 Apr 2016
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