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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 / 21,615 papers shown
Title
Defending Against Machine Learning Model Stealing Attacks Using
  Deceptive Perturbations
Defending Against Machine Learning Model Stealing Attacks Using Deceptive Perturbations
Taesung Lee
Ben Edwards
Ian Molloy
D. Su
AAML
15
40
0
31 May 2018
Fully Automated Organ Segmentation in Male Pelvic CT Images
Fully Automated Organ Segmentation in Male Pelvic CT Images
Anjali Balagopal
S. Kazemifar
D. Nguyen
Mu-Han Lin
R. Hannan
A. Owrangi
Steve B. Jiang
22
119
0
31 May 2018
DeepMiner: Discovering Interpretable Representations for Mammogram
  Classification and Explanation
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation
Jimmy Wu
Bolei Zhou
D. Peck
S. Hsieh
V. Dialani
Lester W. Mackey
Genevieve Patterson
FAtt
MedIm
20
24
0
31 May 2018
Tiling and Stitching Segmentation Output for Remote Sensing: Basic
  Challenges and Recommendations
Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations
Bohao Huang
Daniel Reichman
L. Collins
Kyle Bradbury
Jordan M. Malof
22
44
0
30 May 2018
Why do deep convolutional networks generalize so poorly to small image
  transformations?
Why do deep convolutional networks generalize so poorly to small image transformations?
Aharon Azulay
Yair Weiss
34
557
0
30 May 2018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural
  Network Compression
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression
Lazar Supic
R. Naous
Ranko Sredojevic
Aleksandra Faust
Vladimir M. Stojanović
17
4
0
30 May 2018
A Robust and Effective Approach Towards Accurate Metastasis Detection
  and pN-stage Classification in Breast Cancer
A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
Byungjae Lee
K. Paeng
24
55
0
30 May 2018
Robust Place Categorization with Deep Domain Generalization
Robust Place Categorization with Deep Domain Generalization
Massimiliano Mancini
Samuel Rota Buló
Barbara Caputo
Elisa Ricci
OOD
19
55
0
30 May 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
41
768
0
30 May 2018
Short-term Load Forecasting with Deep Residual Networks
Short-term Load Forecasting with Deep Residual Networks
Kunjin Chen
Kunlong Chen
Qin Wang
Ziyu He
Jun Hu
Jinliang He
29
463
0
30 May 2018
Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN
  Architecture
Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture
N. Gessert
Torben Priegnitz
T. Saathoff
Sven-Thomas Antoni
David Meyer
M. Hamann
K. Jünemann
Christoph Otte
Alexander Schlaefer
24
10
0
30 May 2018
Foresee: Attentive Future Projections of Chaotic Road Environments with
  Online Training
Foresee: Attentive Future Projections of Chaotic Road Environments with Online Training
Anil Sharma
Prabhat Kumar
16
2
0
30 May 2018
RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules
  without Candidate Selection
RUN:Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection
Tian Lan
Yuanyuan Li
Jonah Kimani Murugi
Yi Ding
Zhiguang Qin
27
21
0
30 May 2018
Grow and Prune Compact, Fast, and Accurate LSTMs
Grow and Prune Compact, Fast, and Accurate LSTMs
Xiaoliang Dai
Hongxu Yin
N. Jha
VLM
SyDa
23
90
0
30 May 2018
Multi-function Convolutional Neural Networks for Improving Image
  Classification Performance
Multi-function Convolutional Neural Networks for Improving Image Classification Performance
L. M. Zhang
16
2
0
30 May 2018
Collaborative Learning for Deep Neural Networks
Collaborative Learning for Deep Neural Networks
Guocong Song
Wei Chai
FedML
13
192
0
30 May 2018
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Michael C. Kampffmeyer
Yinbo Chen
Xiaodan Liang
Hao Wang
Yujia Zhang
Eric P. Xing
23
303
0
29 May 2018
Random mesh projectors for inverse problems
Random mesh projectors for inverse problems
Sidharth Gupta
K. Kothari
Maarten V. de Hoop
Ivan Dokmanić
26
15
0
29 May 2018
Channel Gating Neural Networks
Channel Gating Neural Networks
Weizhe Hua
Yuan Zhou
Christopher De Sa
Zhiru Zhang
G. E. Suh
13
180
0
29 May 2018
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
Shibani Santurkar
Dimitris Tsipras
Andrew Ilyas
A. Madry
ODL
27
1,521
0
29 May 2018
Webpage Saliency Prediction with Two-stage Generative Adversarial
  Networks
Webpage Saliency Prediction with Two-stage Generative Adversarial Networks
Yu Li
Ya-Qin Zhang
GAN
MedIm
6
4
0
29 May 2018
Getting to Know Low-light Images with The Exclusively Dark Dataset
Getting to Know Low-light Images with The Exclusively Dark Dataset
Y. P. Loh
Chee Seng Chan
32
537
0
29 May 2018
CapsNet comparative performance evaluation for image classification
CapsNet comparative performance evaluation for image classification
Rinat Mukhometzianov
Juan Carrillo
11
100
0
28 May 2018
Global Sum Pooling: A Generalization Trick for Object Counting with
  Small Datasets of Large Images
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images
Shubhra Aich
Ian Stavness
19
20
0
28 May 2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic
  Priors
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors
Rico Jonschkowski
Divyam Rastogi
Oliver Brock
32
135
0
28 May 2018
Adding New Tasks to a Single Network with Weight Transformations using
  Binary Masks
Adding New Tasks to a Single Network with Weight Transformations using Binary Masks
Massimiliano Mancini
Elisa Ricci
Barbara Caputo
Samuel Rota Buló
17
51
0
28 May 2018
More Than a Feeling: Learning to Grasp and Regrasp using Vision and
  Touch
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
Roberto Calandra
Andrew Owens
Dinesh Jayaraman
Justin Lin
Wenzhen Yuan
Jitendra Malik
Edward H. Adelson
Sergey Levine
14
330
0
28 May 2018
BlockCNN: A Deep Network for Artifact Removal and Image Compression
BlockCNN: A Deep Network for Artifact Removal and Image Compression
Danial Maleki
Soheila Nadalian
Mohammad Mahdi Derakhshani
M. Sadeghi
19
28
0
28 May 2018
Deep Generative Models for Distribution-Preserving Lossy Compression
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen
E. Agustsson
Mario Lucic
14
130
0
28 May 2018
Lipschitz regularity of deep neural networks: analysis and efficient
  estimation
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Kevin Scaman
Aladin Virmaux
17
515
0
28 May 2018
Face hallucination using cascaded super-resolution and identity priors
Face hallucination using cascaded super-resolution and identity priors
Klemen Grm
Simon Dobrišek
Walter J. Scheirer
Vitomir Štruc
SupR
25
92
0
28 May 2018
Fast Dynamic Routing Based on Weighted Kernel Density Estimation
Fast Dynamic Routing Based on Weighted Kernel Density Estimation
Suofei Zhang
Wei-Ye Zhao
Xiaofu Wu
Quan Zhou
14
61
0
28 May 2018
Deep CT to MR Synthesis using Paired and Unpaired Data
Deep CT to MR Synthesis using Paired and Unpaired Data
Cheng-Bin Jin
Hakil Kim
Wonmo Jung
Seongsu Joo
Eunsik Park
Young Saem Ahn
I. Han
Jae-Il Lee
X. Cui
MedIm
19
191
0
28 May 2018
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of
  JPEG-Compressed Images
DPW-SDNet: Dual Pixel-Wavelet Domain Deep CNNs for Soft Decoding of JPEG-Compressed Images
Honggang Chen
Xiaohai He
L. Qing
Shuhua Xiong
Truong Thao Nguyen
26
47
0
27 May 2018
Unsupervised Learning with Stein's Unbiased Risk Estimator
Unsupervised Learning with Stein's Unbiased Risk Estimator
Christopher A. Metzler
Ali Mousavi
Reinhard Heckel
Richard G. Baraniuk
OOD
24
103
0
26 May 2018
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Wayne Wu
Chao Qian
Shuo Yang
Quan Wang
Yici Cai
Qiang-feng Zhou
CVBM
3DV
28
437
0
26 May 2018
Accelerating CNN inference on FPGAs: A Survey
Accelerating CNN inference on FPGAs: A Survey
K. Abdelouahab
Maxime Pelcat
Jocelyn Serot
F. Berry
AI4CE
22
147
0
26 May 2018
Fine-Grained Age Estimation in the wild with Attention LSTM Networks
Fine-Grained Age Estimation in the wild with Attention LSTM Networks
Ke Zhang
Na Liu
Xingfang Yuan
Xinyao Guo
Ce Gao
Zhenbing Zhao
Zhanyu Ma
CVBM
14
102
0
26 May 2018
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer
  Patients with a Hierarchically Densely Connected U-net Deep Learning
  Architecture
Three-Dimensional Radiotherapy Dose Prediction on Head and Neck Cancer Patients with a Hierarchically Densely Connected U-net Deep Learning Architecture
D. Nguyen
X. Jia
David Sher
Mu-Han Lin
Zohaib Iqbal
Hui Liu
Steve B. Jiang
AI4CE
33
270
0
25 May 2018
Less is More: Simultaneous View Classification and Landmark Detection
  for Abdominal Ultrasound Images
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images
Zhoubing Xu
Yuankai Huo
J. Park
Bennett Landman
A. Milkowski
Sasa Grbic
S. Kevin Zhou
25
49
0
25 May 2018
What Face and Body Shapes Can Tell About Height
What Face and Body Shapes Can Tell About Height
Semih Günel
Helge Rhodin
Pascal Fua
3DH
CVBM
28
8
0
25 May 2018
Tensorial Neural Networks: Generalization of Neural Networks and
  Application to Model Compression
Tensorial Neural Networks: Generalization of Neural Networks and Application to Model Compression
Jiahao Su
Jingling Li
Bobby Bhattacharjee
Furong Huang
14
20
0
25 May 2018
Intrinsic Image Transformation via Scale Space Decomposition
Intrinsic Image Transformation via Scale Space Decomposition
Lechao Cheng
Chengyi Zhang
Zicheng Liao
23
39
0
25 May 2018
Scalable Methods for 8-bit Training of Neural Networks
Scalable Methods for 8-bit Training of Neural Networks
Ron Banner
Itay Hubara
Elad Hoffer
Daniel Soudry
MQ
37
331
0
25 May 2018
Learning to Propagate Labels: Transductive Propagation Network for
  Few-shot Learning
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning
Yanbin Liu
Juho Lee
Minseop Park
Saehoon Kim
Eunho Yang
S. Hwang
Yi Yang
20
665
0
25 May 2018
Fairness GAN
Fairness GAN
P. Sattigeri
Samuel C. Hoffman
Vijil Chenthamarakshan
Kush R. Varshney
18
92
0
24 May 2018
Autonomously and Simultaneously Refining Deep Neural Network Parameters
  by Generative Adversarial Networks
Autonomously and Simultaneously Refining Deep Neural Network Parameters by Generative Adversarial Networks
Burak Kakillioglu
Yantao Lu
Senem Velipasalar
19
0
0
24 May 2018
Jointly Optimize Data Augmentation and Network Training: Adversarial
  Data Augmentation in Human Pose Estimation
Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
Xi Peng
Zhiqiang Tang
Fei Yang
Rogerio Feris
Dimitris N. Metaxas
31
204
0
24 May 2018
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual
  Question Answering
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering
Pan Lu
Lei Ji
Wei Zhang
Nan Duan
M. Zhou
Jianyong Wang
CoGe
17
79
0
24 May 2018
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite
  Imagery
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
A. V. Etten
ObjD
8
302
0
24 May 2018
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