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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 / 38,610 papers shown
Title
YellowFin and the Art of Momentum Tuning
YellowFin and the Art of Momentum Tuning
Jian Zhang
Ioannis Mitliagkas
ODL
94
108
0
12 Jun 2017
Few-Shot Image Recognition by Predicting Parameters from Activations
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao
Chenxi Liu
Wei Shen
Alan Yuille
VLM
105
554
0
12 Jun 2017
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote
  Sensing Image Retrieval
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval
Weixun Zhou
Shawn D. Newsam
Congmin Li
Z. Shao
172
461
0
11 Jun 2017
Poseidon: An Efficient Communication Architecture for Distributed Deep
  Learning on GPU Clusters
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Huatian Zhang
Zeyu Zheng
Shizhen Xu
Wei-Ming Dai
Qirong Ho
Xiaodan Liang
Zhiting Hu
Jinliang Wei
P. Xie
Eric Xing
GNN
84
349
0
11 Jun 2017
Item Silk Road: Recommending Items from Information Domains to Social
  Users
Item Silk Road: Recommending Items from Information Domains to Social Users
Xiang Wang
Xiangnan He
Liqiang Nie
Tat-Seng Chua
86
272
0
10 Jun 2017
Deep Adaptive Feature Embedding with Local Sample Distributions for
  Person Re-identification
Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification
Lin Wu
Yang Wang
Junbin Gao
Xue Li
107
162
0
10 Jun 2017
Visual Search at eBay
Visual Search at eBay
Fan Yang
Ajinkya Kale
Y. Bubnov
Leon Stein
Qiaosong Wang
M. Kiapour
Robinson Piramuthu
53
96
0
10 Jun 2017
TIP: Typifying the Interpretability of Procedures
TIP: Typifying the Interpretability of Procedures
Amit Dhurandhar
Vijay Iyengar
Ronny Luss
Karthikeyan Shanmugam
85
36
0
09 Jun 2017
Enhancing SDO/HMI images using deep learning
Enhancing SDO/HMI images using deep learning
C. D. Baso
A. Ramos
34
51
0
09 Jun 2017
Multi-Modal Obstacle Detection in Unstructured Environments with
  Conditional Random Fields
Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields
M. K. Hansen
J. Underwood
25
29
0
09 Jun 2017
Learning to Learn from Noisy Web Videos
Learning to Learn from Noisy Web Videos
Serena Yeung
Vignesh Ramanathan
Olga Russakovsky
Liyue Shen
Greg Mori
Li Fei-Fei
NoLa
59
32
0
09 Jun 2017
Face Detection through Scale-Friendly Deep Convolutional Networks
Face Detection through Scale-Friendly Deep Convolutional Networks
Shuo Yang
Yuanjun Xiong
Chen Change Loy
Xiaoou Tang
CVBM
58
121
0
09 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCVOODD
181
2,087
0
08 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on
  Graphs
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs
Jean-Charles Vialatte
Vincent Gripon
G. Coppin
47
2
0
08 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
244
3,692
0
08 Jun 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
575
2,528
0
08 Jun 2017
Learning Deep Representations for Scene Labeling with Semantic Context
  Guided Supervision
Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision
Zhe Wang
Hongsheng Li
Wanli Ouyang
Xiaogang Wang
SSL
29
2
0
08 Jun 2017
ShiftCNN: Generalized Low-Precision Architecture for Inference of
  Convolutional Neural Networks
ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks
Denis A. Gudovskiy
Luca Rigazio
MQ
111
54
0
07 Jun 2017
Training Quantized Nets: A Deeper Understanding
Training Quantized Nets: A Deeper Understanding
Hao Li
Soham De
Zheng Xu
Christoph Studer
H. Samet
Tom Goldstein
MQ
89
211
0
07 Jun 2017
Learning to Extract Semantic Structure from Documents Using Multimodal
  Fully Convolutional Neural Network
Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network
Xiao Yang
Ersin Yumer
P. Asente
Mike Kraley
Daniel Kifer
C. Lee Giles
78
230
0
07 Jun 2017
Low-shot learning with large-scale diffusion
Low-shot learning with large-scale diffusion
Matthijs Douze
Arthur Szlam
Bharath Hariharan
Hervé Jégou
97
113
0
07 Jun 2017
Recurrent computations for visual pattern completion
Recurrent computations for visual pattern completion
Hanlin Tang
Martin Schrimpf
William Lotter
Charlotte Moerman
Ana Paredes
Josue Ortega Caro
Walter Hardesty
David D. Cox
Gabriel Kreiman
74
212
0
07 Jun 2017
Characterizing Types of Convolution in Deep Convolutional Recurrent
  Neural Networks for Robust Speech Emotion Recognition
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition
Che-Wei Huang
Shrikanth. S. Narayanan
HAI
60
25
0
07 Jun 2017
Synthesizing Filamentary Structured Images with GANs
Synthesizing Filamentary Structured Images with GANs
He Zhao
Huiqi Li
Li Cheng
GANMedIm
65
26
0
07 Jun 2017
Generative-Discriminative Variational Model for Visual Recognition
Generative-Discriminative Variational Model for Visual Recognition
Chih-Kuan Yeh
Yao-Hung Hubert Tsai
Y. Wang
VLM
30
2
0
07 Jun 2017
Network Sketching: Exploiting Binary Structure in Deep CNNs
Network Sketching: Exploiting Binary Structure in Deep CNNs
Yiwen Guo
Anbang Yao
Hao Zhao
Yurong Chen
MQ
81
95
0
07 Jun 2017
Learning to Represent Mechanics via Long-term Extrapolation and
  Interpolation
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation
Sébastien Ehrhardt
Áron Monszpart
Andrea Vedaldi
Niloy Mitra
56
6
0
06 Jun 2017
Compression Fractures Detection on CT
Compression Fractures Detection on CT
A. Bar
Lior Wolf
Orna Bergman Amitai
Eyal Toledano
E. Elnekave
43
68
0
06 Jun 2017
NullHop: A Flexible Convolutional Neural Network Accelerator Based on
  Sparse Representations of Feature Maps
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Alessandro Aimar
Hesham Mostafa
Enrico Calabrese
A. Rios-Navarro
Ricardo Tapiador-Morales
...
Moritz B. Milde
Federico Corradi
A. Linares-Barranco
Shih-Chii Liu
T. Delbruck
154
246
0
05 Jun 2017
Emergence of Invariance and Disentanglement in Deep Representations
Emergence of Invariance and Disentanglement in Deep Representations
Alessandro Achille
Stefano Soatto
OODDRL
147
479
0
05 Jun 2017
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Hierarchical LSTM with Adjusted Temporal Attention for Video Captioning
Jingkuan Song
Zhao Guo
Lianli Gao
Wu Liu
Dongxiang Zhang
Heng Tao Shen
107
166
0
05 Jun 2017
Binary Patterns Encoded Convolutional Neural Networks for Texture
  Recognition and Remote Sensing Scene Classification
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification
Rao Muhammad Anwer
Fahad Shahbaz Khan
Joost van de Weijer
M. Molinier
Jorma T. Laaksonen
80
243
0
05 Jun 2017
Deep MIMO Detection
Deep MIMO Detection
N. Samuel
Tzvi Diskin
A. Wiesel
147
409
0
04 Jun 2017
Segmentation of Intracranial Arterial Calcification with Deeply
  Supervised Residual Dropout Networks
Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks
Gerda Bortsova
Gijs van Tulder
Florian Dubost
Tingying Peng
Nassir Navab
A. van der Lugt
D. Bos
Marleen de Bruijne
81
15
0
04 Jun 2017
Brain Intelligence: Go Beyond Artificial Intelligence
Brain Intelligence: Go Beyond Artificial Intelligence
Huimin Lu
Yujie Li
Min Chen
Hyoungseop Kim
S. Serikawa
62
958
0
04 Jun 2017
Where and Who? Automatic Semantic-Aware Person Composition
Where and Who? Automatic Semantic-Aware Person Composition
Fuwen Tan
Crispin Bernier
Benjamin Cohen
Vicente Ordonez
Connelly Barnes
3DH
92
51
0
04 Jun 2017
Learning by Association - A versatile semi-supervised training method
  for neural networks
Learning by Association - A versatile semi-supervised training method for neural networks
Philip Häusser
A. Mordvintsev
Zorah Lähner
BDL
80
121
0
03 Jun 2017
Spectrum-based deep neural networks for fraud detection
Spectrum-based deep neural networks for fraud detection
Shuhan Yuan
Xintao Wu
Jun Yu Li
Aidong Lu
GNN
75
37
0
03 Jun 2017
Wikipedia Vandal Early Detection: from User Behavior to User Embedding
Wikipedia Vandal Early Detection: from User Behavior to User Embedding
Shuhan Yuan
Panpan Zheng
Xintao Wu
Yang Xiang
KELM
61
21
0
03 Jun 2017
IDK Cascades: Fast Deep Learning by Learning not to Overthink
IDK Cascades: Fast Deep Learning by Learning not to Overthink
Xin Wang
Yujia Luo
D. Crankshaw
Alexey Tumanov
Fisher Yu
Joseph E. Gonzalez
85
108
0
03 Jun 2017
Hyperparameter Optimization: A Spectral Approach
Hyperparameter Optimization: A Spectral Approach
Elad Hazan
Adam R. Klivans
Yang Yuan
87
119
0
02 Jun 2017
Towards Robust Detection of Adversarial Examples
Towards Robust Detection of Adversarial Examples
Tianyu Pang
Chao Du
Yinpeng Dong
Jun Zhu
AAML
87
18
0
02 Jun 2017
Dynamic Steerable Blocks in Deep Residual Networks
Dynamic Steerable Blocks in Deep Residual Networks
J. Jacobsen
Bert de Brabandere
A. Smeulders
91
28
0
02 Jun 2017
Image Restoration from Patch-based Compressed Sensing Measurement
Image Restoration from Patch-based Compressed Sensing Measurement
Guangtao Nie
Ying Fu
Yinqiang Zheng
Hua Huang
112
10
0
02 Jun 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric Xing
DRLGAN
143
127
0
02 Jun 2017
Integrated Deep and Shallow Networks for Salient Object Detection
Integrated Deep and Shallow Networks for Salient Object Detection
Jing Zhang
Yue Liu
Yuchao Dai
Fatih Porikli
Mingyi He
ObjD
49
11
0
02 Jun 2017
Data Augmentation of Wearable Sensor Data for Parkinson's Disease
  Monitoring using Convolutional Neural Networks
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
T. T. Um
Franz MJ Pfister
Daniel C. Pichler
Satoshi Endo
Muriel Lang
Sandra Hirche
U. Fietzek
Dana Kulić
109
689
0
02 Jun 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCVOOD
86
119
0
01 Jun 2017
Deep Mutual Learning
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
169
1,661
0
01 Jun 2017
Discriminative k-shot learning using probabilistic models
Discriminative k-shot learning using probabilistic models
Matthias Bauer
Mateo Rojas-Carulla
J. Swiatkowski
Bernhard Schölkopf
Richard Turner
VLM
93
71
0
01 Jun 2017
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