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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
ArXivPDFHTML

Papers citing "Deep Residual Learning for Image Recognition"

50 / 27,587 papers shown
Title
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data
  Science Bowl 2017 Challenge
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
Kingsley Kuan
Mathieu Ravaut
Gaurav Manek
Huiling Chen
Jie Lin
Babar Nazir
Cen Chen
T. C. Howe
Zengfeng Zeng
V. Chandrasekhar
MedIm
23
87
0
26 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 Maier
SSL
24
86
0
25 May 2017
Pose Guided Person Image Generation
Pose Guided Person Image Generation
Liqian Ma
Xu Jia
Qianru Sun
Bernt Schiele
Tinne Tuytelaars
Luc Van Gool
GAN
46
816
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
13
1,199
0
25 May 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni
M. Deisenroth
BDL
GP
48
415
0
24 May 2017
Exploring the Regularity of Sparse Structure in Convolutional Neural
  Networks
Exploring the Regularity of Sparse Structure in Convolutional Neural Networks
Huizi Mao
Song Han
Jeff Pool
Wenshuo Li
Xingyu Liu
Yu Wang
W. Dally
21
241
0
24 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
44
795
0
24 May 2017
Deep Rotation Equivariant Network
Deep Rotation Equivariant Network
Junying Li
Zichen Yang
Haifeng Liu
Deng Cai
26
59
0
24 May 2017
Selective Classification for Deep Neural Networks
Selective Classification for Deep Neural Networks
Yonatan Geifman
Ran El-Yaniv
CVBM
31
506
0
23 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
45
506
0
23 May 2017
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual
  Actions
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions
Chunhui Gu
Chen Sun
David A. Ross
Carl Vondrick
C. Pantofaru
...
G. Toderici
Susanna Ricco
Rahul Sukthankar
Cordelia Schmid
Jitendra Malik
VGen
27
1,018
0
23 May 2017
Supervised Community Detection with Line Graph Neural Networks
Supervised Community Detection with Line Graph Neural Networks
Zhengdao Chen
Xiang Li
Joan Bruna
27
78
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
16
120
0
23 May 2017
3D Convolutional Neural Networks for Brain Tumor Segmentation: A
  Comparison of Multi-resolution Architectures
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures
Adrià Casamitjana
Santi Puch
Asier Aduriz
Verónica Vilaplana
3DV
24
45
0
23 May 2017
Latent Multi-task Architecture Learning
Latent Multi-task Architecture Learning
Sebastian Ruder
Joachim Bingel
Isabelle Augenstein
Anders Søgaard
CVBM
27
171
0
23 May 2017
Diminishing Batch Normalization
Diminishing Batch Normalization
Yintai Ma
Diego Klabjan
36
15
0
22 May 2017
Facial Affect Estimation in the Wild Using Deep Residual and
  Convolutional Networks
Facial Affect Estimation in the Wild Using Deep Residual and Convolutional Networks
Behzad Hassani
Mohammad H. Mahoor
CVBM
32
24
0
22 May 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep
  Learning
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
W. Wen
Cong Xu
Feng Yan
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
20
984
0
22 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
30
97
0
22 May 2017
Shake-Shake regularization
Shake-Shake regularization
Xavier Gastaldi
3DPC
BDL
OOD
36
380
0
21 May 2017
The Do's and Don'ts for CNN-based Face Verification
The Do's and Don'ts for CNN-based Face Verification
Ankan Bansal
Carlos D. Castillo
Rajeev Ranjan
Rama Chellappa
CVBM
29
96
0
21 May 2017
Forward Thinking: Building Deep Random Forests
Forward Thinking: Building Deep Random Forests
Kevin Miller
Chris Hettinger
J. Humpherys
Tyler J. Jarvis
David Kartchner
AI4CE
11
41
0
20 May 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
61
1,842
0
20 May 2017
Recurrent Scene Parsing with Perspective Understanding in the Loop
Recurrent Scene Parsing with Perspective Understanding in the Loop
Shu Kong
Charless C. Fowlkes
SSeg
MDE
17
105
0
20 May 2017
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial
  Attacks with Moving Target Defense
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense
Sailik Sengupta
Tathagata Chakraborti
S. Kambhampati
AAML
26
63
0
19 May 2017
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
73
2,701
0
19 May 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image
  Generation
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
Lei Cai
Hongyang Gao
Shuiwang Ji
28
68
0
19 May 2017
Espresso: Efficient Forward Propagation for BCNNs
Espresso: Efficient Forward Propagation for BCNNs
Fabrizio Pedersoli
George Tzanetakis
Andrea Tagliasacchi
MQ
18
13
0
19 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
90
3,076
0
19 May 2017
The Kinetics Human Action Video Dataset
The Kinetics Human Action Video Dataset
W. Kay
João Carreira
Karen Simonyan
Brian Zhang
Chloe Hillier
...
Tim Green
T. Back
Apostol Natsev
Mustafa Suleyman
Andrew Zisserman
79
3,759
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
67
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
48
1,353
0
18 May 2017
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of
  Generic Objects
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
Daniel Gordon
Ali Farhadi
Dieter Fox
VOT
21
48
0
17 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
The power of deeper networks for expressing natural functions
The power of deeper networks for expressing natural functions
David Rolnick
Max Tegmark
39
174
0
16 May 2017
Unimodal probability distributions for deep ordinal classification
Unimodal probability distributions for deep ordinal classification
Christopher Beckham
C. Pal
23
74
0
15 May 2017
Deep neural networks on graph signals for brain imaging analysis
Deep neural networks on graph signals for brain imaging analysis
Yiluan Guo
Hossein Nejati
Ngai-man Cheung
GNN
19
26
0
13 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
22
413
0
12 May 2017
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD
  Malware Detections
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
Hsien-De Huang
Hung-Yu kao
AAML
24
147
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
38
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
29
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
Xiaofeng Liu
Quanzheng Li
MedIm
OOD
34
65
0
11 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
19
276
0
11 May 2017
Neural Style Transfer: A Review
Neural Style Transfer: A Review
Yongcheng Jing
Yezhou Yang
Zunlei Feng
Jingwen Ye
Yizhou Yu
Xiuming Zhang
31
725
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
37
161
0
10 May 2017
Inferring and Executing Programs for Visual Reasoning
Inferring and Executing Programs for Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Judy Hoffman
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
NAI
35
541
0
10 May 2017
Phase recovery and holographic image reconstruction using deep learning
  in neural networks
Phase recovery and holographic image reconstruction using deep learning in neural networks
Y. Rivenson
Yibo Zhang
H. Gunaydin
Da Teng
Aydogan Ozcan
13
815
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
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