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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
ArXiv (abs)PDFHTML

Papers citing "Deep Residual Learning for Image Recognition"

50 / 38,496 papers shown
Title
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics,
  and Datasets
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
Junsuk Choe
Seong Joon Oh
Sanghyuk Chun
Seungho Lee
Zeynep Akata
Hyunjung Shim
WSOL
460
25
0
08 Jul 2020
Robust Re-Identification by Multiple Views Knowledge Distillation
Robust Re-Identification by Multiple Views Knowledge Distillation
Angelo Porrello
Luca Bergamini
Simone Calderara
80
67
0
08 Jul 2020
Learning Speech Representations from Raw Audio by Joint Audiovisual
  Self-Supervision
Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision
Abhinav Shukla
Stavros Petridis
Maja Pantic
SSL
63
16
0
08 Jul 2020
Tracking-by-Trackers with a Distilled and Reinforced Model
Tracking-by-Trackers with a Distilled and Reinforced Model
Matteo Dunnhofer
N. Martinel
C. Micheloni
VOTOffRL
64
4
0
08 Jul 2020
How benign is benign overfitting?
How benign is benign overfitting?
Amartya Sanyal
P. Dokania
Varun Kanade
Philip Torr
NoLaAAML
89
58
0
08 Jul 2020
Attacking Split Manufacturing from a Deep Learning Perspective
Attacking Split Manufacturing from a Deep Learning Perspective
Haocheng Li
Satwik Patnaik
A. Sengupta
Haoyu Yang
J. Knechtel
Bei Yu
Evangeline F. Y. Young
Ozgur Sinanoglu
MoE
37
21
0
08 Jul 2020
Distributed Training of Deep Learning Models: A Taxonomic Perspective
Distributed Training of Deep Learning Models: A Taxonomic Perspective
M. Langer
Zhen He
W. Rahayu
Yanbo Xue
70
78
0
08 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks
Operation-Aware Soft Channel Pruning using Differentiable Masks
Minsoo Kang
Bohyung Han
AAML
71
141
0
08 Jul 2020
Density Fixing: Simple yet Effective Regularization Method based on the
  Class Prior
Density Fixing: Simple yet Effective Regularization Method based on the Class Prior
Masanari Kimura
Ryohei Izawa
22
1
0
08 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
140
919
0
08 Jul 2020
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose
  Distribution Bias
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias
Yunhan Zhao
Shu Kong
Charless C. Fowlkes
MDE
43
3
0
08 Jul 2020
Deep Ensemble Analysis for Imaging X-ray Polarimetry
Deep Ensemble Analysis for Imaging X-ray Polarimetry
A. L. Peirson
R. Romani
H. Marshall
J. Steiner
L. Baldini
23
19
0
08 Jul 2020
Real-time Semantic Segmentation with Fast Attention
Real-time Semantic Segmentation with Fast Attention
Ping Hu
Federico Perazzi
Fabian Caba Heilbron
Oliver Wang
Zhe Lin
Kate Saenko
Stan Sclaroff
SSeg
77
121
0
07 Jul 2020
MO-PaDGAN: Generating Diverse Designs with Multivariate Performance
  Enhancement
MO-PaDGAN: Generating Diverse Designs with Multivariate Performance Enhancement
Wei Chen
Faez Ahmed
32
0
0
07 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang
Lingyang Chu
Zirui Zhou
Lanjun Wang
Jiangchuan Liu
J. Pei
Yong Zhang
FedML
105
619
0
07 Jul 2020
Towards an Understanding of Residual Networks Using Neural Tangent
  Hierarchy (NTH)
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH)
Yuqing Li
Yaoyu Zhang
N. Yip
55
5
0
07 Jul 2020
Instance Segmentation for Whole Slide Imaging: End-to-End or
  Detect-Then-Segment
Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment
Aadarsh Jha
Haichun Yang
Ruining Deng
M. Kapp
Agnes B. Fogo
Yuankai Huo
ISeg
34
14
0
07 Jul 2020
STADB: A Self-Thresholding Attention Guided ADB Network for Person
  Re-identification
STADB: A Self-Thresholding Attention Guided ADB Network for Person Re-identification
Bo Jiang
Sheng Wang
Tianlin Li
A. Zheng
OOD
68
1
0
07 Jul 2020
Single Shot Video Object Detector
Single Shot Video Object Detector
Jiajun Deng
Yingwei Pan
Ting Yao
Wen-gang Zhou
Houqiang Li
Tao Mei
ObjD
92
41
0
07 Jul 2020
On Learning Semantic Representations for Million-Scale Free-Hand
  Sketches
On Learning Semantic Representations for Million-Scale Free-Hand Sketches
Peng Xu
Yongye Huang
Tongtong Yuan
Tao Xiang
Timothy M. Hospedales
Yi-Zhe Song
Liang Wang
SSL
88
4
0
07 Jul 2020
Hierarchical nucleation in deep neural networks
Hierarchical nucleation in deep neural networks
Diego Doimo
Aldo Glielmo
A. Ansuini
Alessandro Laio
BDLAI4CE
57
32
0
07 Jul 2020
AutoAssign: Differentiable Label Assignment for Dense Object Detection
AutoAssign: Differentiable Label Assignment for Dense Object Detection
Benjin Zhu
Jianfeng Wang
Zhengkai Jiang
Fuhang Zong
Songtao Liu
Zeming Li
Jian Sun
98
223
0
07 Jul 2020
Re-thinking Co-Salient Object Detection
Re-thinking Co-Salient Object Detection
Deng-Ping Fan
Tengpeng Li
Zheng Lin
Ge-Peng Ji
Dingwen Zhang
Ming-Ming Cheng
Huazhu Fu
Jianbing Shen
121
146
0
07 Jul 2020
Learning and Reasoning with the Graph Structure Representation in
  Robotic Surgery
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
Mobarakol Islam
Seenivasan Lalithkumar
Lim Chwee Ming
Hongliang Ren
86
41
0
07 Jul 2020
SpinalNet: Deep Neural Network with Gradual Input
SpinalNet: Deep Neural Network with Gradual Input
H. M. D. Kabir
Moloud Abdar
S. M. Jalali
Abbas Khosravi
A. Atiya
S. Nahavandi
D. Srinivasan
AI4CE
77
139
0
07 Jul 2020
GOLD-NAS: Gradual, One-Level, Differentiable
GOLD-NAS: Gradual, One-Level, Differentiable
Kaifeng Bi
Lingxi Xie
Xin Chen
Longhui Wei
Qi Tian
OODAI4CE
56
42
0
07 Jul 2020
Structured (De)composable Representations Trained with Neural Networks
Structured (De)composable Representations Trained with Neural Networks
Graham Spinks
Marie-Francine Moens
OCL
31
1
0
07 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score
  Matching
Efficient Learning of Generative Models via Finite-Difference Score Matching
Tianyu Pang
Kun Xu
Chongxuan Li
Yang Song
Stefano Ermon
Jun Zhu
DiffM
104
55
0
07 Jul 2020
Learning to Generate Novel Domains for Domain Generalization
Learning to Generate Novel Domains for Domain Generalization
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
181
459
0
07 Jul 2020
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in
  Colorectal Cancer
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer
C. Abbet
I. Zlobec
Behzad Bozorgtabar
Jean-Philippe Thiran
OOD
64
57
0
07 Jul 2020
LabelEnc: A New Intermediate Supervision Method for Object Detection
LabelEnc: A New Intermediate Supervision Method for Object Detection
Miao Hao
Yitao Liu
Xinming Zhang
Jian Sun
85
25
0
07 Jul 2020
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting
Xiaohan Ding
Tianxiang Hao
Jianchao Tan
Ji Liu
Jungong Han
Yuchen Guo
Guiguang Ding
91
166
0
07 Jul 2020
Doubly infinite residual neural networks: a diffusion process approach
Doubly infinite residual neural networks: a diffusion process approach
Stefano Peluchetti
Stefano Favaro
39
2
0
07 Jul 2020
Enabling On-Device CNN Training by Self-Supervised Instance Filtering
  and Error Map Pruning
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning
Yawen Wu
Zhepeng Wang
Yiyu Shi
Jiaxi Hu
74
46
0
07 Jul 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with
  Curriculum Search
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Yong Guo
Yaofo Chen
Yin Zheng
P. Zhao
Jian Chen
Junzhou Huang
Mingkui Tan
68
68
0
07 Jul 2020
Discretization-Aware Architecture Search
Discretization-Aware Architecture Search
Yunjie Tian
Chang-rui Liu
Lingxi Xie
Jianbin Jiao
QiXiang Ye
67
32
0
07 Jul 2020
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Dual Mixup Regularized Learning for Adversarial Domain Adaptation
Yuan Wu
Diana Inkpen
Ahmed El-Roby
59
168
0
07 Jul 2020
X-ray Photon-Counting Data Correction through Deep Learning
X-ray Photon-Counting Data Correction through Deep Learning
Mengzhou Li
D. Rundle
Ge Wang
MedIm
38
23
0
06 Jul 2020
Multi-image Super Resolution of Remotely Sensed Images using Residual
  Feature Attention Deep Neural Networks
Multi-image Super Resolution of Remotely Sensed Images using Residual Feature Attention Deep Neural Networks
Francesco Salvetti
Vittorio Mazzia
Aleem Khaliq
Marcello Chiaberge
SupR
86
119
0
06 Jul 2020
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask
  Similarity for Trainable Sub-Network Finding
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding
Michela Paganini
Jessica Zosa Forde
UQCV
51
6
0
06 Jul 2020
Generative Model-Based Loss to the Rescue: A Method to Overcome
  Annotation Errors for Depth-Based Hand Pose Estimation
Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation
Jiayi Wang
Franziska Mueller
Florian Bernard
Christian Theobalt
GAN3DH
34
4
0
06 Jul 2020
Learning to Segment Anatomical Structures Accurately from One Exemplar
Learning to Segment Anatomical Structures Accurately from One Exemplar
Yuhang Lu
Weijian Li
K. Zheng
Yirui Wang
Adam P. Harrison
...
Song Wang
Jing Xiao
Le Lu
C. Kuo
S. Miao
MedIm
126
17
0
06 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang
Henrik Marklund
Nikita Dhawan
Abhishek Gupta
Sergey Levine
Chelsea Finn
OOD
74
208
0
06 Jul 2020
Estimating Generalization under Distribution Shifts via Domain-Invariant
  Representations
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
OOD
68
64
0
06 Jul 2020
Parametric machines: a fresh approach to architecture search
Parametric machines: a fresh approach to architecture search
Pietro Vertechi
M. Bergomi
56
2
0
06 Jul 2020
Bifurcated backbone strategy for RGB-D salient object detection
Bifurcated backbone strategy for RGB-D salient object detection
Yingjie Zhai
Deng-Ping Fan
Jufeng Yang
Ali Borji
Ling Shao
Junwei Han
Liang Wang
85
113
0
06 Jul 2020
Toward unsupervised, multi-object discovery in large-scale image
  collections
Toward unsupervised, multi-object discovery in large-scale image collections
Huy V. Vo
P. Pérez
Jean Ponce
OCL
85
74
0
06 Jul 2020
Dynamic memory to alleviate catastrophic forgetting in continuous
  learning settings
Dynamic memory to alleviate catastrophic forgetting in continuous learning settings
J. Hofmanninger
Matthias Perkonigg
J. Brink
Oleg S. Pianykh
Christian Herold
Georg Langs
OODMedIm
66
28
0
06 Jul 2020
Learning a Domain Classifier Bank for Unsupervised Adaptive Object
  Detection
Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection
Sanli Tang
Zhanzhan Cheng
Shiliang Pu
Dashan Guo
Yi Niu
Leilei Gan
27
2
0
06 Jul 2020
Learning from Failure: Training Debiased Classifier from Biased
  Classifier
Learning from Failure: Training Debiased Classifier from Biased Classifier
J. Nam
Hyuntak Cha
SungSoo Ahn
Jaeho Lee
Jinwoo Shin
84
150
0
06 Jul 2020
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