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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 / 26,555 papers shown
Title
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic
  Corrections
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections
Xin Zhang
Armando Solar-Lezama
Rishabh Singh
FAtt
24
63
0
21 Feb 2018
Attentive Tensor Product Learning
Attentive Tensor Product Learning
Qiuyuan Huang
Li Deng
D. Wu
Chang Liu
Xiaodong He
27
23
0
20 Feb 2018
i-RevNet: Deep Invertible Networks
i-RevNet: Deep Invertible Networks
J. Jacobsen
A. Smeulders
Edouard Oyallon
52
333
0
20 Feb 2018
Do deep nets really need weight decay and dropout?
Do deep nets really need weight decay and dropout?
Alex Hernández-García
Peter König
19
27
0
20 Feb 2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net)
  for Medical Image Segmentation
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
SSeg
42
1,003
0
20 Feb 2018
Teaching Categories to Human Learners with Visual Explanations
Teaching Categories to Human Learners with Visual Explanations
Oisin Mac Aodha
Shihan Su
Yuxin Chen
Pietro Perona
Yisong Yue
21
70
0
20 Feb 2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative
  Refinement
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
Jason D. Lee
Elman Mansimov
Kyunghyun Cho
DiffM
BDL
42
455
0
19 Feb 2018
A Scalable Near-Memory Architecture for Training Deep Neural Networks on
  Large In-Memory Datasets
A Scalable Near-Memory Architecture for Training Deep Neural Networks on Large In-Memory Datasets
Fabian Schuiki
Michael Schaffner
Frank K. Gürkaynak
Luca Benini
31
70
0
19 Feb 2018
A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)
A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)
Pelin Dogan
Boyang Albert Li
Leonid Sigal
Markus Gross
AI4TS
30
19
0
19 Feb 2018
Understanding the Loss Surface of Neural Networks for Binary
  Classification
Understanding the Loss Surface of Neural Networks for Binary Classification
Shiyu Liang
Ruoyu Sun
Yixuan Li
R. Srikant
35
87
0
19 Feb 2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
Mattias Teye
Hossein Azizpour
Kevin Smith
BDL
UQCV
28
239
0
18 Feb 2018
End-to-end Audiovisual Speech Recognition
End-to-end Audiovisual Speech Recognition
Stavros Petridis
Themos Stafylakis
Pingchuan Ma
Feipeng Cai
Georgios Tzimiropoulos
M. Pantic
44
250
0
18 Feb 2018
Sim-to-Real Optimization of Complex Real World Mobile Network with
  Imperfect Information via Deep Reinforcement Learning from Self-play
Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play
Yongxi Tan
Jin Yang
Xin Chen
Qitao Song
Yunjun Chen
Zhangxiang Ye
Zhenqiang Su
22
2
0
18 Feb 2018
Machine learning for Internet of Things data analysis: A survey
Machine learning for Internet of Things data analysis: A survey
Mohammad Saeid Mahdavinejad
M. Rezvan
M. Barekatain
Peyman Adibi
Payam Barnaghi
A. Sheth
13
900
0
17 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
50
45
0
17 Feb 2018
Gradient descent with identity initialization efficiently learns
  positive definite linear transformations by deep residual networks
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
Peter L. Bartlett
D. Helmbold
Philip M. Long
36
116
0
16 Feb 2018
Spectral Normalization for Generative Adversarial Networks
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
53
4,402
0
16 Feb 2018
Mapping Images to Scene Graphs with Permutation-Invariant Structured
  Prediction
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction
Roei Herzig
Moshiko Raboh
Gal Chechik
Jonathan Berant
Amir Globerson
GNN
OCL
29
133
0
15 Feb 2018
Cost-Effective Training of Deep CNNs with Active Model Adaptation
Cost-Effective Training of Deep CNNs with Active Model Adaptation
Sheng-Jun Huang
Jia-Wei Zhao
Zhao-Yang Liu
13
62
0
15 Feb 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DV
61
1,179
0
15 Feb 2018
Advancing System Performance with Redundancy: From Biological to
  Artificial Designs
Advancing System Performance with Redundancy: From Biological to Artificial Designs
A. Nguyen
Han Zhu
Diu Khue Luu
Qi Zhao
Zhi-Xin Yang
16
10
0
14 Feb 2018
Fully Convolutional Network Ensembles for White Matter Hyperintensities
  Segmentation in MR Images
Fully Convolutional Network Ensembles for White Matter Hyperintensities Segmentation in MR Images
Hongwei Bran Li
Gongfa Jiang
Jianguo Zhang
Ruixuan Wang
Zhaolei Wang
Weishi Zheng
Bjoern H. Menze
34
194
0
14 Feb 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical
  Care
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
Patrick Schwab
E. Keller
C. Muroi
David J. Mack
C. Strässle
W. Karlen
29
23
0
14 Feb 2018
MemeSequencer: Sparse Matching for Embedding Image Macros
MemeSequencer: Sparse Matching for Embedding Image Macros
Abhimanyu Dubey
Esteban Moro Egido
Manuel Cebrian
Iyad Rahwan
37
35
0
14 Feb 2018
Exploring Hidden Dimensions in Parallelizing Convolutional Neural
  Networks
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
Zhihao Jia
Sina Lin
C. Qi
A. Aiken
37
117
0
14 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping
  Transformations
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
37
75
0
14 Feb 2018
Web-Scale Responsive Visual Search at Bing
Web-Scale Responsive Visual Search at Bing
Houdong Hu
Yan Wang
Linjun Yang
Pavel Komlev
Li Huang
Xi Chen
Jiapei Huang
Ye Wu
Meenaz Merchant
Arun Sacheti
VLM
24
62
0
14 Feb 2018
Uncertainty Estimation via Stochastic Batch Normalization
Uncertainty Estimation via Stochastic Batch Normalization
Andrei Atanov
Arsenii Ashukha
Dmitry Molchanov
Kirill Neklyudov
Dmitry Vetrov
UQCV
BDL
37
47
0
13 Feb 2018
Satellite Image Forgery Detection and Localization Using GAN and
  One-Class Classifier
Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier
S. Yarlagadda
David Guera
Paolo Bestagini
F. Zhu
Stefano Tubaro
Edward J. Delp
26
60
0
13 Feb 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine
  Learning Abstractions
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache
O. Zinenko
Theodoros Theodoridis
Priya Goyal
Zach DeVito
William S. Moses
Sven Verdoolaege
Andrew Adams
Albert Cohen
40
432
0
13 Feb 2018
Joint Demosaicing and Denoising with Perceptual Optimization on a
  Generative Adversarial Network
Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network
W. Dong
Mingrui Yuan
Xin Li
Guangming Shi
GAN
41
32
0
13 Feb 2018
Modeling of Facial Aging and Kinship: A Survey
Modeling of Facial Aging and Kinship: A Survey
Markos Georgopoulos
Yannis Panagakis
M. Pantic
CVBM
27
25
0
13 Feb 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
13
669
0
13 Feb 2018
Deep Neural Networks Learn Non-Smooth Functions Effectively
Deep Neural Networks Learn Non-Smooth Functions Effectively
Masaaki Imaizumi
Kenji Fukumizu
23
123
0
13 Feb 2018
An Optimized Architecture for Unpaired Image-to-Image Translation
An Optimized Architecture for Unpaired Image-to-Image Translation
Mohan Nikam
GAN
26
0
0
13 Feb 2018
On Characterizing the Capacity of Neural Networks using Algebraic
  Topology
On Characterizing the Capacity of Neural Networks using Algebraic Topology
William H. Guss
Ruslan Salakhutdinov
35
89
0
13 Feb 2018
signSGD: Compressed Optimisation for Non-Convex Problems
signSGD: Compressed Optimisation for Non-Convex Problems
Jeremy Bernstein
Yu-Xiang Wang
Kamyar Azizzadenesheli
Anima Anandkumar
FedML
ODL
44
1,021
0
13 Feb 2018
Towards Understanding the Generalization Bias of Two Layer Convolutional
  Linear Classifiers with Gradient Descent
Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent
Yifan Wu
Barnabás Póczós
Aarti Singh
MLT
30
8
0
13 Feb 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Nathan Hilliard
Lawrence Phillips
Scott Howland
A. Yankov
Court D. Corley
Nathan Oken Hodas
SSL
39
158
0
12 Feb 2018
Edge-Host Partitioning of Deep Neural Networks with Feature Space
  Encoding for Resource-Constrained Internet-of-Things Platforms
Edge-Host Partitioning of Deep Neural Networks with Feature Space Encoding for Resource-Constrained Internet-of-Things Platforms
J. Ko
Taesik Na
M. Amir
Saibal Mukhopadhyay
16
148
0
11 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
Zheng Qin
Zhaoning Zhang
Xiaotao Chen
Yuxing Peng
MQ
29
104
0
11 Feb 2018
$\mathcal{G}$-SGD: Optimizing ReLU Neural Networks in its Positively
  Scale-Invariant Space
G\mathcal{G}G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Qi Meng
Shuxin Zheng
Huishuai Zhang
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
35
38
0
11 Feb 2018
Optimal approximation of continuous functions by very deep ReLU networks
Optimal approximation of continuous functions by very deep ReLU networks
Dmitry Yarotsky
27
294
0
10 Feb 2018
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land
  Classification
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification
Rodrigo Minetto
Maurício Pamplona Segundo
Sudeep Sarkar
42
132
0
10 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
35
1,342
0
10 Feb 2018
A Two-Stage Method for Text Line Detection in Historical Documents
A Two-Stage Method for Text Line Detection in Historical Documents
Tobias Grüning
Gundram Leifert
Tobias Strauß
Johannes Michael
R. Labahn
31
143
0
09 Feb 2018
Cognitive Deficit of Deep Learning in Numerosity
Cognitive Deficit of Deep Learning in Numerosity
Xiaolin Wu
Xi Zhang
X. Shu
20
12
0
09 Feb 2018
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic
  Videos Without Manual Annotations
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations
A. P. Twinanda
Gaurav Yengera
Didier Mutter
J. Marescaux
N. Padoy
MedIm
29
98
0
09 Feb 2018
Zero-Resource Neural Machine Translation with Multi-Agent Communication
  Game
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game
Yun Chen
Yang Liu
V. Li
41
47
0
09 Feb 2018
Tracking Noisy Targets: A Review of Recent Object Tracking Approaches
Tracking Noisy Targets: A Review of Recent Object Tracking Approaches
M. Fiaz
Arif Mahmood
Soon Ki Jung
AAML
29
49
0
09 Feb 2018
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