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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 / 27,656 papers shown
Title
Defending Against Multiple and Unforeseen Adversarial Videos
Defending Against Multiple and Unforeseen Adversarial Videos
Shao-Yuan Lo
Vishal M. Patel
AAML
31
23
0
11 Sep 2020
Adversarial Learning for Zero-shot Domain Adaptation
Adversarial Learning for Zero-shot Domain Adaptation
Jinghua Wang
Jianmin Jiang
GAN
32
15
0
11 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information
  Maximization
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
48
117
0
11 Sep 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
55
610
0
10 Sep 2020
Neither Private Nor Fair: Impact of Data Imbalance on Utility and
  Fairness in Differential Privacy
Neither Private Nor Fair: Impact of Data Imbalance on Utility and Fairness in Differential Privacy
Tom Farrand
Fatemehsadat Mireshghallah
Sahib Singh
Andrew Trask
FedML
11
88
0
10 Sep 2020
Dual Encoding for Video Retrieval by Text
Dual Encoding for Video Retrieval by Text
Jianfeng Dong
Xirong Li
Chaoxi Xu
Xun Yang
Gang Yang
Xun Wang
Meng Wang
26
2
0
10 Sep 2020
Performance of object recognition in wearable videos
Performance of object recognition in wearable videos
Alberto Sabater
Luis Montesano
Ana C. Murillo
24
2
0
10 Sep 2020
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19
  Lesion Segmentation in CT scans
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans
Paschalis A. Bizopoulos
N. Vretos
P. Daras
35
17
0
10 Sep 2020
Quantifying the Preferential Direction of the Model Gradient in
  Adversarial Training With Projected Gradient Descent
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen
27
11
0
10 Sep 2020
Time-Based Roofline for Deep Learning Performance Analysis
Time-Based Roofline for Deep Learning Performance Analysis
Yunsong Wang
Charlene Yang
S. Farrell
Yan Zhang
Thorsten Kurth
Samuel Williams
27
17
0
09 Sep 2020
RoIFusion: 3D Object Detection from LiDAR and Vision
RoIFusion: 3D Object Detection from LiDAR and Vision
Can Chen
L. Z. Fragonara
Antonios Tsourdos
3DPC
26
49
0
09 Sep 2020
CuratorNet: Visually-aware Recommendation of Art Images
CuratorNet: Visually-aware Recommendation of Art Images
Pablo Messina
Manuel Cartagena
Patricio Cerda
Felipe del-Rio
Denis Parra
25
14
0
09 Sep 2020
ODIN: Automated Drift Detection and Recovery in Video Analytics
ODIN: Automated Drift Detection and Recovery in Video Analytics
Abhijit Suprem
Joy Arulraj
C. Pu
J. E. Ferreira
23
12
0
09 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Yue Liu
AAML
38
128
0
09 Sep 2020
Improved Trainable Calibration Method for Neural Networks on Medical
  Imaging Classification
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
G. Liang
Yu Zhang
Xiaoqin Wang
Nathan Jacobs
UQCV
28
60
0
09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards
  the Defender's Perspective
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
33
157
0
08 Sep 2020
Computational Design of Cold Bent Glass Façades
Computational Design of Cold Bent Glass Façades
K. Gavriil
R. Guseinov
J. Pérez
Davide Pellis
Paul Henderson
F. Rist
H. Pottmann
Bernd Bickel
28
21
0
08 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling
Imbalanced Continual Learning with Partitioning Reservoir Sampling
C. Kim
Jinseo Jeong
Gunhee Kim
CLL
32
101
0
08 Sep 2020
Alternating Direction Method of Multipliers for Quantization
Alternating Direction Method of Multipliers for Quantization
Tianjian Huang
Prajwal Singhania
Maziar Sanjabi
Pabitra Mitra
Meisam Razaviyayn
MQ
30
10
0
08 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network
  Training
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai
Shengjie Luo
Keyulu Xu
Di He
Tie-Yan Liu
Liwei Wang
GNN
32
160
0
07 Sep 2020
VisCode: Embedding Information in Visualization Images using
  Encoder-Decoder Network
VisCode: Embedding Information in Visualization Images using Encoder-Decoder Network
Peiying Zhang
Chenhui Li
Changbo Wang
27
42
0
07 Sep 2020
Quantifying Explainability of Saliency Methods in Deep Neural Networks
  with a Synthetic Dataset
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset
Erico Tjoa
Cuntai Guan
XAI
FAtt
21
27
0
07 Sep 2020
Edge-variational Graph Convolutional Networks for Uncertainty-aware
  Disease Prediction
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction
Yongxiang Huang
Albert C. S. Chung
MedIm
19
61
0
06 Sep 2020
Utilizing Citation Network Structure to Predict Citation Counts: A Deep
  Learning Approach
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach
Qihang Zhao
15
4
0
06 Sep 2020
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for
  Distributed Training of Deep Neural Networks
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks
Qing Ye
Y. Han
Yanan Sun
Jiancheng Lv
28
3
0
06 Sep 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels
  for Universal Lesion Detection in CT
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT
K. Yan
Jinzheng Cai
Youjing Zheng
Adam P. Harrison
D. Jin
Youbao Tang
Yuxing Tang
Lingyun Huang
Jing Xiao
Le Lu
47
84
0
05 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
Jonas Geiping
Liam H. Fowl
Wenjie Huang
W. Czaja
Gavin Taylor
Michael Moeller
Tom Goldstein
AAML
21
215
0
04 Sep 2020
Looking for change? Roll the Dice and demand Attention
Looking for change? Roll the Dice and demand Attention
F. Diakogiannis
F. Waldner
P. Caccetta
23
66
0
04 Sep 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators
  using Reinforcement Learning
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning
Sheng-Chun Kao
Geonhwa Jeong
T. Krishna
28
95
0
04 Sep 2020
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
S3NAS: Fast NPU-aware Neural Architecture Search Methodology
Jaeseong Lee
Duseok Kang
S. Ha
35
10
0
04 Sep 2020
Attention Flows: Analyzing and Comparing Attention Mechanisms in
  Language Models
Attention Flows: Analyzing and Comparing Attention Mechanisms in Language Models
Joseph F DeRose
Jiayao Wang
M. Berger
17
83
0
03 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNN
SSeg
28
10
0
03 Sep 2020
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in
  FPGA Design for CNN-based Object Detectors
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors
Duy-Thanh Nguyen
Hyun Kim
Hyuk-Jae Lee
MQ
25
60
0
03 Sep 2020
Adherent Mist and Raindrop Removal from a Single Image Using Attentive
  Convolutional Network
Adherent Mist and Raindrop Removal from a Single Image Using Attentive Convolutional Network
Da He
Xiaoyu Shang
Jiajia Luo
20
8
0
03 Sep 2020
A Practical Layer-Parallel Training Algorithm for Residual Networks
A Practical Layer-Parallel Training Algorithm for Residual Networks
Qi Sun
Hexin Dong
Zewei Chen
Weizhen Dian
Jiacheng Sun
Yitong Sun
Zhenguo Li
Bin Dong
ODL
27
2
0
03 Sep 2020
Learning Dexterous Grasping with Object-Centric Visual Affordances
Learning Dexterous Grasping with Object-Centric Visual Affordances
Priyanka Mandikal
Kristen Grauman
32
136
0
03 Sep 2020
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray
  Scattering Images
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images
Xinyi Huang
Suphanut Jamonnak
Ye Zhao
Boyu Wang
Minh Hoai
Kevin Yager
Wei Xu
30
5
0
03 Sep 2020
Seeing wake words: Audio-visual Keyword Spotting
Seeing wake words: Audio-visual Keyword Spotting
Liliane Momeni
Triantafyllos Afouras
Themos Stafylakis
Samuel Albanie
Andrew Zisserman
46
43
0
02 Sep 2020
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for
  Natural Disaster Damage Assessment
Comprehensive Semantic Segmentation on High Resolution UAV Imagery for Natural Disaster Damage Assessment
Maryam Rahnemoonfar
Tashnim Chowdhury
Robin Murphy
Odair Fernandes
18
35
0
02 Sep 2020
Transform Quantization for CNN (Convolutional Neural Network)
  Compression
Transform Quantization for CNN (Convolutional Neural Network) Compression
Sean I. Young
Wang Zhe
David S. Taubman
B. Girod
MQ
36
69
0
02 Sep 2020
Semantically Adaptive Image-to-image Translation for Domain Adaptation
  of Semantic Segmentation
Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation
Luigi Musto
Andrea Zinelli
VLM
38
36
0
02 Sep 2020
Face Image Quality Assessment: A Literature Survey
Face Image Quality Assessment: A Literature Survey
Torsten Schlett
Christian Rathgeb
O. Henniger
Javier Galbally
Julian Fierrez
Christoph Busch
CVBM
24
128
0
02 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Chen Ma
L. Chen
Junhai Yong
MLAU
OOD
43
17
0
02 Sep 2020
On the Structures of Representation for the Robustness of Semantic
  Segmentation to Input Corruption
On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
Charles Lehman
Dogancan Temel
Ghassan AlRegib
23
4
0
02 Sep 2020
Open-set Adversarial Defense
Open-set Adversarial Defense
Rui Shao
Pramuditha Perera
Pong C. Yuen
Vishal M. Patel
AAML
28
30
0
02 Sep 2020
Bidirectional Attention Network for Monocular Depth Estimation
Bidirectional Attention Network for Monocular Depth Estimation
Shubhra Aich
Jean M. Uwabeza Vianney
Md. Amirul Islam
Mannat Kaur
Bingbing Liu
MDE
32
75
0
01 Sep 2020
Aggregating Long-Term Context for Learning Laparoscopic and
  Robot-Assisted Surgical Workflows
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows
Yutong Ban
Guy Rosman
Thomas M. Ward
Daniel A. Hashimoto
Taisei Kondo
Hidekazu Iwaki
O. Meireles
Daniela Rus
33
19
0
01 Sep 2020
Inducing Predictive Uncertainty Estimation for Face Recognition
Inducing Predictive Uncertainty Estimation for Face Recognition
Weidi Xie
J. Byrne
Andrew Zisserman
CVBM
24
16
0
01 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and
  Perspectives
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis
Steffen Schneider
Jessy Lauer
Mackenzie W. Mathis
35
165
0
01 Sep 2020
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