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Identity Mappings in Deep Residual Networks

Identity Mappings in Deep Residual Networks

16 March 2016
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ArXivPDFHTML

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 1,641 papers shown
Title
How Does Frequency Bias Affect the Robustness of Neural Image
  Classifiers against Common Corruption and Adversarial Perturbations?
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Alvin Chan
Yew-Soon Ong
Clement Tan
AAML
29
13
0
09 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
Yangdi Lu
Wenbo He
NoLa
40
39
0
02 May 2022
Training High-Performance Low-Latency Spiking Neural Networks by
  Differentiation on Spike Representation
Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation
Qingyan Meng
Mingqing Xiao
Shen Yan
Yisen Wang
Zhouchen Lin
Zhimin Luo
29
135
0
01 May 2022
EndoMapper dataset of complete calibrated endoscopy procedures
EndoMapper dataset of complete calibrated endoscopy procedures
P. Azagra
C. Sostres
Ángel Ferrandez
L. Riazuelo
Clara Tomasini
...
Javier Civera
Juan D. Tardós
Ana C. Murillo
Á. Lanas
José M.M. Montiel
51
50
0
29 Apr 2022
Computer Vision for Road Imaging and Pothole Detection: A
  State-of-the-Art Review of Systems and Algorithms
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms
Nachuan Ma
Jiahe Fan
Wenshuo Wang
Jin Wu
Yu Jiang
Lihua Xie
Rui Fan
33
78
0
28 Apr 2022
Semantic Information Recovery in Wireless Networks
Semantic Information Recovery in Wireless Networks
Edgar Beck
C. Bockelmann
Armin Dekorsy
35
22
0
28 Apr 2022
On Fragile Features and Batch Normalization in Adversarial Training
On Fragile Features and Batch Normalization in Adversarial Training
Nils Philipp Walter
David Stutz
Bernt Schiele
AAML
27
5
0
26 Apr 2022
Smart App Attack: Hacking Deep Learning Models in Android Apps
Smart App Attack: Hacking Deep Learning Models in Android Apps
Yujin Huang
Chunyang Chen
FedML
AAML
28
21
0
23 Apr 2022
Universum-inspired Supervised Contrastive Learning
Universum-inspired Supervised Contrastive Learning
Aiyang Han
Chuanxing Geng
Songcan Chen
SSL
34
3
0
22 Apr 2022
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic
  Segmentation
Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation
Damien Robert
Bruno Vallet
Loic Landrieu
3DPC
36
71
0
15 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
Out-of-Distribution Detection with Deep Nearest Neighbors
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Yixuan Li
OODD
19
496
0
13 Apr 2022
RF Signal Transformation and Classification using Deep Neural Networks
RF Signal Transformation and Classification using Deep Neural Networks
Umar Khalid
Nazmul Karim
Nazanin Rahnavard
30
4
0
06 Apr 2022
How stable are Transferability Metrics evaluations?
How stable are Transferability Metrics evaluations?
A. Agostinelli
Michal Pándy
J. Uijlings
Thomas Mensink
V. Ferrari
50
23
0
04 Apr 2022
Do learned representations respect causal relationships?
Do learned representations respect causal relationships?
Lan Wang
Vishnu Boddeti
NAI
CML
OOD
47
6
0
02 Apr 2022
QuadraLib: A Performant Quadratic Neural Network Library for
  Architecture Optimization and Design Exploration
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration
Zirui Xu
Fuxun Yu
Jinjun Xiong
Xiang Chen
36
24
0
01 Apr 2022
Deep Hyperspectral Unmixing using Transformer Network
Deep Hyperspectral Unmixing using Transformer Network
Preetam Ghosh
Swalpa Kumar Roy
Bikram Koirala
Behnood Rasti
P. Scheunders
ViT
54
81
0
31 Mar 2022
Improving Adversarial Transferability via Neuron Attribution-Based
  Attacks
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Jianping Zhang
Weibin Wu
Jen-tse Huang
Yizhan Huang
Wenxuan Wang
Yuxin Su
Michael R. Lyu
AAML
45
130
0
31 Mar 2022
Energy-based Latent Aligner for Incremental Learning
Energy-based Latent Aligner for Incremental Learning
K. J. Joseph
Salman Khan
Fahad Shahbaz Khan
Rao Muhammad Anwer
V. Balasubramanian
CLL
57
47
0
28 Mar 2022
StructToken : Rethinking Semantic Segmentation with Structural Prior
StructToken : Rethinking Semantic Segmentation with Structural Prior
Fangjian Lin
Zhanhao Liang
Miao Zheng
Junjun He
Kaibing Chen
Sheng Tian
25
49
0
23 Mar 2022
Discovering Objects that Can Move
Discovering Objects that Can Move
Zhipeng Bao
P. Tokmakov
Allan Jabri
Yu-Xiong Wang
Adrien Gaidon
M. Hebert
OCL
46
43
0
18 Mar 2022
SHREC 2021: Classification in cryo-electron tomograms
SHREC 2021: Classification in cryo-electron tomograms
I. Gubins
Marten L. Chaillet
Gijs van der Schot
M. Trueba
R. Veltkamp
...
Min Xu
Yaoyu Wang
Cheng Chen
Xuefeng Cui
Fang Zhang
24
19
0
18 Mar 2022
Reducing Flipping Errors in Deep Neural Networks
Reducing Flipping Errors in Deep Neural Networks
Xiang Deng
Yun Xiao
Bo Long
Zhongfei Zhang
AAML
38
4
0
16 Mar 2022
Deep Learning without Shortcuts: Shaping the Kernel with Tailored
  Rectifiers
Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers
Guodong Zhang
Aleksandar Botev
James Martens
OffRL
44
26
0
15 Mar 2022
Energy-Latency Attacks via Sponge Poisoning
Energy-Latency Attacks via Sponge Poisoning
Antonio Emanuele Cinà
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
SILM
75
29
0
14 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy
LAS-AT: Adversarial Training with Learnable Attack Strategy
Xiaojun Jia
Yong Zhang
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
49
132
0
13 Mar 2022
Exploiting the Potential of Datasets: A Data-Centric Approach for Model
  Robustness
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness
Yiqi Zhong
Lei Wu
Xianming Liu
Junjun Jiang
AAML
30
9
0
10 Mar 2022
Hyperspectral Imaging for cherry tomato
Hyperspectral Imaging for cherry tomato
Yun Xiang
Qi-Jie Chen
Zhongjin Su
Lu Zhang
Zuohui Chen
Guozhi
Z. Yao
Qi Xuan
Yuan Cheng
22
43
0
10 Mar 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of
  Pretrained Models to Classification Tasks
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
Nan Ding
Xi Chen
Tomer Levinboim
Soravit Changpinyo
Radu Soricut
40
26
0
10 Mar 2022
Update Compression for Deep Neural Networks on the Edge
Update Compression for Deep Neural Networks on the Edge
Bo Chen
A. Bakhshi
Gustavo E. A. P. A. Batista
Brian Ng
Tat-Jun Chin
33
17
0
09 Mar 2022
Towards Efficient Data-Centric Robust Machine Learning with Noise-based
  Augmentation
Towards Efficient Data-Centric Robust Machine Learning with Noise-based Augmentation
Xiaogeng Liu
Haoyu Wang
Yechao Zhang
Fangzhou Wu
Shengshan Hu
OOD
32
12
0
08 Mar 2022
FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics
FloorGenT: Generative Vector Graphic Model of Floor Plans for Robotics
Ludvig Ericson
Patric Jensfelt
3DV
32
2
0
07 Mar 2022
Plant Species Recognition with Optimized 3D Polynomial Neural Networks
  and Variably Overlapping Time-Coherent Sliding Window
Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window
Habib Ben Abdallah
C. Henry
S. Ramanna
36
2
0
04 Mar 2022
Building 3D Generative Models from Minimal Data
Building 3D Generative Models from Minimal Data
Skylar Sutherland
Bernhard Egger
J. Tenenbaum
3DH
25
5
0
04 Mar 2022
MF-Hovernet: An Extension of Hovernet for Colon Nuclei Identification
  and Counting (CoNiC) Challenge
MF-Hovernet: An Extension of Hovernet for Colon Nuclei Identification and Counting (CoNiC) Challenge
Thi Tuong Vi Vo
Soo-Hyung Kim
Taebum Lee
29
1
0
04 Mar 2022
3D object reconstruction and 6D-pose estimation from 2D shape for
  robotic grasping of objects
3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects
Marcell Wolnitza
Osman Kaya
Tomas Kulvicius
Florentin Wörgötter
B. Dellen
35
7
0
02 Mar 2022
A Method Based on Deep Learning for the Detection and Characterization
  of Cybersecurity Incidents in Internet of Things Devices
A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices
Jhon Alexánder Parra
S. Gutiérrez
J. Branch
35
2
0
01 Mar 2022
A Data-scalable Transformer for Medical Image Segmentation:
  Architecture, Model Efficiency, and Benchmark
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark
Yunhe Gao
Mu Zhou
Ding Liu
Zhennan Yan
Shaoting Zhang
Dimitris N. Metaxas
ViT
MedIm
43
68
0
28 Feb 2022
CTformer: Convolution-free Token2Token Dilated Vision Transformer for
  Low-dose CT Denoising
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising
Dayang Wang
Fenglei Fan
Zhan Wu
R. Liu
Fei Wang
Hengyong Yu
ViT
MedIm
40
122
0
28 Feb 2022
An Improved Deep Learning Approach For Product Recognition on Racks in
  Retail Stores
An Improved Deep Learning Approach For Product Recognition on Racks in Retail Stores
Ankit Sinha
Soham Banerjee
Pratik Chattopadhyay
30
4
0
26 Feb 2022
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification
  with Rejection from ECG Recordings
A Deep Bayesian Neural Network for Cardiac Arrhythmia Classification with Rejection from ECG Recordings
Wen-Rang Zhang
Xinxin Di
Guodong Wei
Shijia Geng
Zhaoji Fu
linda Qiao
UQCV
BDL
21
2
0
26 Feb 2022
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs
Learning POD of Complex Dynamics Using Heavy-ball Neural ODEs
Justin Baker
E. Cherkaev
A. Narayan
Bao Wang
AI4CE
29
4
0
24 Feb 2022
An End-to-End Cascaded Image Deraining and Object Detection Neural
  Network
An End-to-End Cascaded Image Deraining and Object Detection Neural Network
Kaige Wang
Tianming Wang
Jianchuang Qu
Huatao Jiang
Qing Li
Lin Chang
50
16
0
23 Feb 2022
A Bayesian Deep Learning Approach to Near-Term Climate Prediction
A Bayesian Deep Learning Approach to Near-Term Climate Prediction
Xihaier Luo
Balasubramanya T. Nadiga
Yihui Ren
Ji Hwan Park
Wei Xu
Shinjae Yoo
BDL
AI4CE
27
10
0
23 Feb 2022
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction
  Study
Privacy-Preserving In-Bed Pose Monitoring: A Fusion and Reconstruction Study
Thisun Dayarathna
Thamidu Muthukumarana
Yasiru Rathnayaka
Simon Denman
C. D. Silva
Akila Pemasiri
David Ahmedt-Aristizabal
3DH
26
12
0
22 Feb 2022
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial
  Robustness
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
Beomsu Kim
Junghoon Seo
AAML
39
0
0
21 Feb 2022
Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in
  Bayesian Deep Neural Networks
Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks
Jurijs Nazarovs
Ronak R. Mehta
Vishnu Suresh Lokhande
Vikas Singh
UQCV
BDL
OOD
30
5
0
19 Feb 2022
Mixture-of-Experts with Expert Choice Routing
Mixture-of-Experts with Expert Choice Routing
Yan-Quan Zhou
Tao Lei
Han-Chu Liu
Nan Du
Yanping Huang
Vincent Zhao
Andrew M. Dai
Zhifeng Chen
Quoc V. Le
James Laudon
MoE
160
334
0
18 Feb 2022
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification
  From Analytical Augmented Sample Moments
A Data-Augmentation Is Worth A Thousand Samples: Exact Quantification From Analytical Augmented Sample Moments
Randall Balestriero
Ishan Misra
Yann LeCun
35
20
0
16 Feb 2022
How Do Vision Transformers Work?
How Do Vision Transformers Work?
Namuk Park
Songkuk Kim
ViT
54
468
0
14 Feb 2022
PFGE: Parsimonious Fast Geometric Ensembling of DNNs
PFGE: Parsimonious Fast Geometric Ensembling of DNNs
Hao Guo
Jiyong Jin
B. Liu
FedML
41
1
0
14 Feb 2022
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