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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 / 38,671 papers shown
Title
Illuminating Pedestrians via Simultaneous Detection & Segmentation
Illuminating Pedestrians via Simultaneous Detection & Segmentation
Garrick Brazil
Xi Yin
Xiaoming Liu
73
258
0
26 Jun 2017
Deep Network Flow for Multi-Object Tracking
Deep Network Flow for Multi-Object Tracking
S. Schulter
Paul Vernaza
Wongun Choi
Manmohan Chandraker
VOT
88
204
0
26 Jun 2017
Learning to Map Vehicles into Bird's Eye View
Learning to Map Vehicles into Bird's Eye View
Andrea Palazzi
Guido Borghi
Davide Abati
Simone Calderara
Rita Cucchiara
61
47
0
26 Jun 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLMCLL
304
2,751
0
26 Jun 2017
Deep Semantic Classification for 3D LiDAR Data
Deep Semantic Classification for 3D LiDAR Data
Ayush Dewan
Gabriel L. Oliveira
Wolfram Burgard
3DPC3DV
57
57
0
26 Jun 2017
Deep Semantics-Aware Photo Adjustment
Deep Semantics-Aware Photo Adjustment
Seonghyeon Nam
Seon Joo Kim
GAN
10
3
0
26 Jun 2017
Few-Example Object Detection with Model Communication
Few-Example Object Detection with Model Communication
Xuanyi Dong
Liang Zheng
Fan Ma
Yi Yang
Deyu Meng
ObjDVLM
266
160
0
26 Jun 2017
YoTube: Searching Action Proposal via Recurrent and Static Regression
  Networks
YoTube: Searching Action Proposal via Recurrent and Static Regression Networks
Erik Cambria
Romain Vial
Shijian Lu
Yonghong Tian
Xianbin Cao
76
45
0
26 Jun 2017
Decomposing Motion and Content for Natural Video Sequence Prediction
Decomposing Motion and Content for Natural Video Sequence Prediction
Ruben Villegas
Jimei Yang
Seunghoon Hong
Xunyu Lin
Honglak Lee
98
599
0
25 Jun 2017
Irregular Convolutional Neural Networks
Irregular Convolutional Neural Networks
Jiabin Ma
Wei Wang
Liang Wang
45
12
0
24 Jun 2017
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image
  Compressive Sensing
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
Jian Zhang
Guohao Li
74
37
0
24 Jun 2017
Encoder-Decoder Shift-Reduce Syntactic Parsing
Encoder-Decoder Shift-Reduce Syntactic Parsing
Jiangming Liu
Yue Zhang
70
15
0
24 Jun 2017
Joint Prediction of Depths, Normals and Surface Curvature from RGB
  Images using CNNs
Joint Prediction of Depths, Normals and Surface Curvature from RGB Images using CNNs
Thanuja Dharmasiri
Andrew Spek
Tom Drummond
3DV
74
28
0
23 Jun 2017
Sampling Matters in Deep Embedding Learning
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
127
927
0
23 Jun 2017
A-NICE-MC: Adversarial Training for MCMC
A-NICE-MC: Adversarial Training for MCMC
Jiaming Song
Shengjia Zhao
Stefano Ermon
BDLOOD
127
110
0
23 Jun 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
162
2,061
0
22 Jun 2017
Revised Note on Learning Algorithms for Quadratic Assignment with Graph
  Neural Networks
Revised Note on Learning Algorithms for Quadratic Assignment with Graph Neural Networks
Alex W. Nowak
Soledad Villar
Afonso S. Bandeira
Joan Bruna
166
118
0
22 Jun 2017
Deep Transfer Learning: A new deep learning glitch classification method
  for advanced LIGO
Deep Transfer Learning: A new deep learning glitch classification method for advanced LIGO
D. George
Hongyu Shen
Eliu A. Huerta
74
92
0
22 Jun 2017
A Wavenet for Speech Denoising
A Wavenet for Speech Denoising
Dario Rethage
Jordi Pons
Xavier Serra
157
432
0
22 Jun 2017
Balanced Quantization: An Effective and Efficient Approach to Quantized
  Neural Networks
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
Shuchang Zhou
Yuzhi Wang
He Wen
Qinyao He
Yuheng Zou
MQ
102
111
0
22 Jun 2017
Learnable pooling with Context Gating for video classification
Learnable pooling with Context Gating for video classification
Antoine Miech
Ivan Laptev
Josef Sivic
87
327
0
21 Jun 2017
MEC: Memory-efficient Convolution for Deep Neural Network
MEC: Memory-efficient Convolution for Deep Neural Network
Minsik Cho
D. Brand
59
86
0
21 Jun 2017
GM-Net: Learning Features with More Efficiency
GM-Net: Learning Features with More Efficiency
Yujia Chen
Ce Li
44
6
0
21 Jun 2017
Deep Learning Methods for Improved Decoding of Linear Codes
Deep Learning Methods for Improved Decoding of Linear Codes
Eliya Nachmani
Elad Marciano
Loren Lugosch
W. Gross
D. Burshtein
Yair Be’ery
85
482
0
21 Jun 2017
Multi-Modal Trip Hazard Affordance Detection On Construction Sites
Multi-Modal Trip Hazard Affordance Detection On Construction Sites
Sean McMahon
Niko Sünderhauf
B. Upcroft
Michael Milford
60
18
0
21 Jun 2017
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge
  Matches the Performance of Expert-developed QSAR/QSPR Models
Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
Garrett B. Goh
Charles Siegel
Abhinav Vishnu
Nathan Oken Hodas
Nathan Baker
103
158
0
20 Jun 2017
Towards Proof Synthesis Guided by Neural Machine Translation for
  Intuitionistic Propositional Logic
Towards Proof Synthesis Guided by Neural Machine Translation for Intuitionistic Propositional Logic
Taro Sekiyama
Akifumi Imanishi
Kohei Suenaga
53
12
0
20 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
479
12,180
0
19 Jun 2017
An Entropy-based Pruning Method for CNN Compression
An Entropy-based Pruning Method for CNN Compression
Jian-Hao Luo
Jianxin Wu
48
180
0
19 Jun 2017
Learning Hierarchical Information Flow with Recurrent Neural Modules
Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner
A. Irpan
James Davidson
N. Heess
28
9
0
18 Jun 2017
Towards the Improvement of Automated Scientific Document Categorization
  by Deep Learning
Towards the Improvement of Automated Scientific Document Categorization by Deep Learning
Thomas Krause
25
0
0
18 Jun 2017
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
Dong Yin
A. Pananjady
Max Lam
Dimitris Papailiopoulos
Kannan Ramchandran
Peter L. Bartlett
89
11
0
18 Jun 2017
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural
  Network Approach
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Takuo Hamaguchi
H. Oiwa
Masashi Shimbo
Yuji Matsumoto
118
335
0
18 Jun 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
236
8,526
0
17 Jun 2017
Place recognition: An Overview of Vision Perspective
Place recognition: An Overview of Vision Perspective
Zhiqiang Zeng
Jian Zhang
Xiaodong Wang
Yuming Chen
Chaoyang Zhu
BDL
57
23
0
17 Jun 2017
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
Mahesh Chandra Mukkamala
Matthias Hein
ODL
84
258
0
17 Jun 2017
A Deep Learning Approach for Blind Drift Calibration of Sensor Networks
A Deep Learning Approach for Blind Drift Calibration of Sensor Networks
Yuzhi Wang
A. Yang
Xiaoming Chen
Pengjun Wang
Yu Wang
Huazhong Yang
41
66
0
16 Jun 2017
Perceptual Generative Adversarial Networks for Small Object Detection
Perceptual Generative Adversarial Networks for Small Object Detection
Jianan Li
Xiaodan Liang
Yunchao Wei
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
106
731
0
16 Jun 2017
Self-ensembling for visual domain adaptation
Self-ensembling for visual domain adaptation
Geoffrey French
Michal Mackiewicz
M. Fisher
103
44
0
16 Jun 2017
A Fully Trainable Network with RNN-based Pooling
A Fully Trainable Network with RNN-based Pooling
Shuai Li
W. Li
Chris Cook
Ce Zhu
Yanbo Gao
51
21
0
16 Jun 2017
Face Clustering: Representation and Pairwise Constraints
Face Clustering: Representation and Pairwise Constraints
Yichun Shi
C. Otto
Anil K. Jain
CVBM
80
98
0
15 Jun 2017
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Furong Huang
Jordan T. Ash
John Langford
Robert Schapire
92
111
0
15 Jun 2017
Sobolev Training for Neural Networks
Sobolev Training for Neural Networks
Wojciech M. Czarnecki
Simon Osindero
Max Jaderberg
G. Swirszcz
Razvan Pascanu
91
248
0
15 Jun 2017
Suggestive Annotation: A Deep Active Learning Framework for Biomedical
  Image Segmentation
Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
Ling Yang
Yizhe Zhang
Jianxu Chen
Siyuan Zhang
Benlin Liu
MedIm
89
505
0
15 Jun 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic
  Segmentation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia
Eugenio Culurciello
SSeg
89
1,394
0
14 Jun 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
301
5,896
0
14 Jun 2017
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video
  Classification
Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification
Yu-Gang Jiang
Zuxuan Wu
Jinhui Tang
Zechao Li
Xiangyang Xue
Shih-Fu Chang
56
97
0
14 Jun 2017
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks
Manuk Akopyan
Eshsou Khashba
41
7
0
14 Jun 2017
Hierarchical Gaussian Descriptors with Application to Person
  Re-Identification
Hierarchical Gaussian Descriptors with Application to Person Re-Identification
Tetsu Matsukawa
Takahiro Okabe
Einoshin Suzuki
Yoichi Sato
77
34
0
14 Jun 2017
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning
  Approach
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
Ding Liu
Bihan Wen
Xianming Liu
Zhangyang Wang
Thomas S. Huang
VLM
53
216
0
14 Jun 2017
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