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On Feature Normalization and Data Augmentation

On Feature Normalization and Data Augmentation

25 February 2020
Boyi Li
Felix Wu
Ser-Nam Lim
Serge J. Belongie
Kilian Q. Weinberger
ArXivPDFHTML

Papers citing "On Feature Normalization and Data Augmentation"

22 / 22 papers shown
Title
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Guanxin Wan
Bing Wang
21
5
0
06 Dec 2023
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume
  Segmentation
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation
Y. Huang
Wanqing Xie
Mingzhen Li
Mingmei Cheng
Jinzhou Wu
Weixiao Wang
Jane You
Xiaofeng Liu
FedML
26
3
0
23 Oct 2023
MedViT: A Robust Vision Transformer for Generalized Medical Image
  Classification
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari
Hamid Ahmadabadi
Hossein Kashiani
S. B. Shokouhi
Ahmad Ayatollahi
ViT
MedIm
28
177
0
19 Feb 2023
FedFA: Federated Feature Augmentation
FedFA: Federated Feature Augmentation
Tianfei Zhou
E. Konukoglu
OOD
FedML
23
28
0
30 Jan 2023
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Expeditious Saliency-guided Mix-up through Random Gradient Thresholding
Minh-Long Luu
Zeyi Huang
Eric P. Xing
Yong Jae Lee
Haohan Wang
AAML
23
1
0
09 Dec 2022
LUMix: Improving Mixup by Better Modelling Label Uncertainty
LUMix: Improving Mixup by Better Modelling Label Uncertainty
Shuyang Sun
Jieneng Chen
Ruifei He
Alan Yuille
Philip H. S. Torr
Song Bai
UQCV
NoLa
13
5
0
29 Nov 2022
Local Magnification for Data and Feature Augmentation
Local Magnification for Data and Feature Augmentation
Kun He
Chang-rui Liu
Stephen Lin
J. Hopcroft
19
2
0
15 Nov 2022
Signing Outside the Studio: Benchmarking Background Robustness for
  Continuous Sign Language Recognition
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition
Youngjoon Jang
Youngtaek Oh
Jae-Won Cho
Dong-Jin Kim
Joon Son Chung
In So Kweon
SLR
24
12
0
01 Nov 2022
Deeper Insights into the Robustness of ViTs towards Common Corruptions
Deeper Insights into the Robustness of ViTs towards Common Corruptions
Rui Tian
Zuxuan Wu
Qi Dai
Han Hu
Yu-Gang Jiang
ViT
AAML
21
4
0
26 Apr 2022
Efficient Test-Time Model Adaptation without Forgetting
Efficient Test-Time Model Adaptation without Forgetting
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Mingkui Tan
OOD
VLM
TTA
28
307
0
06 Apr 2022
Evolving Neural Selection with Adaptive Regularization
Evolving Neural Selection with Adaptive Regularization
Li Ding
Lee Spector
ODL
20
4
0
04 Apr 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
43
394
0
25 Mar 2022
RecursiveMix: Mixed Learning with History
RecursiveMix: Mixed Learning with History
Lingfeng Yang
Xiang Li
Borui Zhao
Renjie Song
Jian Yang
VLM
27
18
0
14 Mar 2022
Uncertainty Modeling for Out-of-Distribution Generalization
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li
Yongxing Dai
Yixiao Ge
Jun Liu
Ying Shan
Ling-Yu Duan
OODD
OOD
18
175
0
08 Feb 2022
MEMO: Test Time Robustness via Adaptation and Augmentation
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang
Sergey Levine
Chelsea Finn
OOD
TTA
20
299
0
18 Oct 2021
Adversarially Adaptive Normalization for Single Domain Generalization
Adversarially Adaptive Normalization for Single Domain Generalization
Xinjie Fan
Qifei Wang
Junjie Ke
Feng Yang
Boqing Gong
Mingyuan Zhou
22
129
0
01 Jun 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
70
56
0
05 Jan 2021
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
26
79
0
17 Sep 2020
Natural Adversarial Examples
Natural Adversarial Examples
Dan Hendrycks
Kevin Zhao
Steven Basart
Jacob Steinhardt
D. Song
OODD
50
1,417
0
16 Jul 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,348
0
12 Dec 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
48
185
0
14 Nov 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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