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Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

10 December 2015
Kaiming He
X. Zhang
Shaoqing Ren
Jian-jun Sun
    MedIm
ArXivPDFHTML

Papers citing "Deep Residual Learning for Image Recognition"

50 / 21,772 papers shown
Title
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
23
211
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
19
25
0
07 Jun 2017
Synthesizing Filamentary Structured Images with GANs
Synthesizing Filamentary Structured Images with GANs
He Zhao
Huiqi Li
Li Cheng
GAN
MedIm
30
26
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
29
95
0
07 Jun 2017
Compression Fractures Detection on CT
Compression Fractures Detection on CT
A. Bar
Lior Wolf
Orna Bergman Amitai
Eyal Toledano
E. Elnekave
16
67
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
80
242
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
F. Khan
Joost van de Weijer
M. Molinier
Jorma T. Laaksonen
30
242
0
05 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
23
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
22
950
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
Daniel Cremers
BDL
25
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
16
37
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
25
107
0
03 Jun 2017
Hyperparameter Optimization: A Spectral Approach
Hyperparameter Optimization: A Spectral Approach
Elad Hazan
Adam R. Klivans
Yang Yuan
25
118
0
02 Jun 2017
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric P. Xing
DRL
GAN
38
127
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
33
671
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
UQCV
OOD
11
117
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 E. Turner
VLM
18
71
0
01 Jun 2017
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Kisuk Lee
J. Zung
Peter H. Li
Viren Jain
H. S. Seung
3DV
17
266
0
31 May 2017
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and
  Image-to-Image Translation from Unpaired Supervision
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision
H. Tung
Adam W. Harley
William Seto
Katerina Fragkiadaki
GAN
22
156
0
31 May 2017
Accelerating Neural Architecture Search using Performance Prediction
Accelerating Neural Architecture Search using Performance Prediction
Bowen Baker
O. Gupta
Ramesh Raskar
Nikhil Naik
15
30
0
30 May 2017
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting,
  Violent Behaviour Detection and Crowd Density Level Classification
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification
Mark A Marsden
Kevin McGuinness
Suzanne Little
Noel E. O'Connor
22
116
0
30 May 2017
Deep Learning is Robust to Massive Label Noise
Deep Learning is Robust to Massive Label Noise
David Rolnick
Andreas Veit
Serge J. Belongie
Nir Shavit
NoLa
25
548
0
30 May 2017
Unsupervised Person Re-identification: Clustering and Fine-tuning
Unsupervised Person Re-identification: Clustering and Fine-tuning
Hehe Fan
Liang Zheng
Yi Yang
SSL
18
488
0
30 May 2017
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks -
  Counting, Detection, and Tracking
Beyond Counting: Comparisons of Density Maps for Crowd Analysis Tasks - Counting, Detection, and Tracking
Di Kang
Zheng Ma
Antoni B. Chan
18
175
0
29 May 2017
Abnormality Detection and Localization in Chest X-Rays using Deep
  Convolutional Neural Networks
Abnormality Detection and Localization in Chest X-Rays using Deep Convolutional Neural Networks
M. Islam
Md Abdul Aowal
A. T. Minhaz
Khalid Ashraf
33
188
0
27 May 2017
Deep Complex Networks
Deep Complex Networks
C. Trabelsi
O. Bilaniuk
Ying Zhang
Dmitriy Serdyuk
Sandeep Subramanian
J. F. Santos
Soroush Mehri
Negar Rostamzadeh
Yoshua Bengio
C. Pal
24
824
0
27 May 2017
Deep Metric Learning and Image Classification with Nearest Neighbour
  Gaussian Kernels
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels
Benjamin J. Meyer
Ben Harwood
Tom Drummond
21
8
0
27 May 2017
Deep Matching and Validation Network -- An End-to-End Solution to
  Constrained Image Splicing Localization and Detection
Deep Matching and Validation Network -- An End-to-End Solution to Constrained Image Splicing Localization and Detection
Yue Wu
Wael Abd-Almageed
Premkumar Natarajan
14
110
0
27 May 2017
Unsupervised Feature Learning for Writer Identification and Writer
  Retrieval
Unsupervised Feature Learning for Writer Identification and Writer Retrieval
Vincent Christlein
Martin Gropp
Stefan Fiel
Andreas K. Maier
SSL
19
86
0
25 May 2017
MagNet: a Two-Pronged Defense against Adversarial Examples
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng
Hao Chen
AAML
11
1,196
0
25 May 2017
Train longer, generalize better: closing the generalization gap in large
  batch training of neural networks
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer
Itay Hubara
Daniel Soudry
ODL
27
792
0
24 May 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial
  Manipulation
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein
Maksym Andriushchenko
AAML
31
505
0
23 May 2017
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring
  Algorithms in Whole Slide Images of Breast Cancer Tissues
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues
Talha Qaiser
A. Mukherjee
Chaitanya Reddy Pb
Sai Dileep Munugoti
Vamsi Tallam
...
G. Bueno
David R. J. Snead
I. Ellis
M. Ilyas
Nasir M. Rajpoot
11
120
0
23 May 2017
Regularizing deep networks using efficient layerwise adversarial
  training
Regularizing deep networks using efficient layerwise adversarial training
S. Sankaranarayanan
Arpit Jain
Rama Chellappa
Ser Nam Lim
AAML
22
96
0
22 May 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
60
3,061
0
19 May 2017
Pixel Deconvolutional Networks
Pixel Deconvolutional Networks
Hongyang Gao
Hao Yuan
Zhengyang Wang
Shuiwang Ji
SSeg
19
46
0
18 May 2017
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
MUTAN: Multimodal Tucker Fusion for Visual Question Answering
H. Ben-younes
Rémi Cadène
Matthieu Cord
Nicolas Thome
44
578
0
18 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
25
1,351
0
18 May 2017
Joint Learning from Earth Observation and OpenStreetMap Data to Get
  Faster Better Semantic Maps
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
24
105
0
17 May 2017
Unimodal probability distributions for deep ordinal classification
Unimodal probability distributions for deep ordinal classification
Christopher Beckham
C. Pal
11
74
0
15 May 2017
Person Re-Identification by Deep Joint Learning of Multi-Loss
  Classification
Person Re-Identification by Deep Joint Learning of Multi-Loss Classification
Wei Li
Xiatian Zhu
S. Gong
14
413
0
12 May 2017
Reducing Bias in Production Speech Models
Reducing Bias in Production Speech Models
Eric Battenberg
R. Child
Adam Coates
Christopher Fougner
Yashesh Gaur
...
Vinay Rao
S. Satheesh
David Seetapun
Anuroop Sriram
Zhenyao Zhu
30
10
0
11 May 2017
Recent Advances in Transfer Learning for Cross-Dataset Visual
  Recognition: A Problem-Oriented Perspective
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
27
46
0
11 May 2017
Imagination improves Multimodal Translation
Imagination improves Multimodal Translation
Desmond Elliott
Ákos Kádár
23
136
0
11 May 2017
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image
  Denoising
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising
Dufan Wu
Kyungsang Kim
G. El Fakhri
Quanzheng Li
MedIm
OOD
26
65
0
11 May 2017
Context-aware stacked convolutional neural networks for classification
  of breast carcinomas in whole-slide histopathology images
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
B. Bejnordi
G. Zuidhof
M. Balkenhol
M. Hermsen
P. Bult
Bram van Ginneken
N. Karssemeijer
G. Litjens
Jeroen van der Laak
31
162
0
10 May 2017
Skin lesion detection based on an ensemble of deep convolutional neural
  network
Skin lesion detection based on an ensemble of deep convolutional neural network
B. Harangi
MedIm
16
268
0
09 May 2017
CHAM: action recognition using convolutional hierarchical attention
  model
CHAM: action recognition using convolutional hierarchical attention model
Shiyang Yan
Jeremy S. Smith
Wenjin Lu
Bailing Zhang
27
8
0
09 May 2017
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
17
3,263
0
08 May 2017
Temporal Segment Networks for Action Recognition in Videos
Temporal Segment Networks for Action Recognition in Videos
Limin Wang
Yuanjun Xiong
Zhe Wang
Yu Qiao
Dahua Lin
Xiaoou Tang
Luc Van Gool
ViT
14
802
0
08 May 2017
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