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Iterative Normalization: Beyond Standardization towards Efficient
  Whitening

Iterative Normalization: Beyond Standardization towards Efficient Whitening

6 April 2019
Lei Huang
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
ArXiv (abs)PDFHTML

Papers citing "Iterative Normalization: Beyond Standardization towards Efficient Whitening"

48 / 48 papers shown
Title
ResNets Are Deeper Than You Think
ResNets Are Deeper Than You Think
Christian H.X. Ali Mehmeti-Göpel
Michael Wand
15
0
0
17 Jun 2025
On the Importance of Gaussianizing Representations
On the Importance of Gaussianizing Representations
Daniel Eftekhari
Vardan Papyan
77
0
0
01 May 2025
Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation
Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation
Siyu Chen
Ting Han
Changshe Zhang
Xin Luo
Meiliu Wu
Guorong Cai
Jinhe Su
MDE
114
1
0
17 Apr 2025
Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
Pairwise Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model
Kotaro Ikeda
Masanori Koyama
Jinzhe Zhang
Kohei Hayashi
Kenji Fukumizu
OT
562
1
0
04 Apr 2025
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection
Boyong He
Yuxiang Ji
Qianwen Ye
Zhuoyue Tan
Liaoni Wu
DiffM
160
0
0
03 Mar 2025
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
Xiaoran Xu
Jiangang Yang
Wenhui Shi
Siyuan Ding
Luqing Luo
Jian Liu
256
2
0
24 Feb 2025
Generalize or Detect? Towards Robust Semantic Segmentation Under
  Multiple Distribution Shifts
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Zhitong Gao
Bingnan Li
Mathieu Salzmann
Xuming He
OODVLM
173
1
0
06 Nov 2024
Blending Low and High-Level Semantics of Time Series for Better Masked
  Time Series Generation
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation
Johan Vik Mathisen
Erlend Lokna
Daesoo Lee
Erlend Aune
BDLAI4TS
36
0
0
29 Aug 2024
Phrase Grounding-based Style Transfer for Single-Domain Generalized
  Object Detection
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection
Hao Li
Wei Wang
Cong Wang
Zhigang Luo
Xinwang Liu
KenLi Li
Xiaochun Cao
ObjD
89
1
0
02 Feb 2024
Collaborating Foundation Models for Domain Generalized Semantic
  Segmentation
Collaborating Foundation Models for Domain Generalized Semantic Segmentation
Yasser Benigmim
Subhankar Roy
S. Essid
Vicky Kalogeiton
Stéphane Lathuilière
135
14
0
15 Dec 2023
Modulate Your Spectrum in Self-Supervised Learning
Modulate Your Spectrum in Self-Supervised Learning
Xi Weng
Yu-Li Ni
Tengwei Song
Jie Luo
Rao Muhammad Anwer
Salman Khan
Fahad Shahbaz Khan
Lei Huang
73
5
0
26 May 2023
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
Concept Learning for Interpretable Multi-Agent Reinforcement Learning
Renos Zabounidis
Joseph Campbell
Simon Stepputtis
Dana Hughes
Katia Sycara
78
17
0
23 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood
  Alignment
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment
Wei Dong
Dawei Yan
Peifeng Wang
SSL
140
2
0
09 Feb 2023
CLIP the Gap: A Single Domain Generalization Approach for Object
  Detection
CLIP the Gap: A Single Domain Generalization Approach for Object Detection
Vidit Vidit
Martin Engilberge
Mathieu Salzmann
VLMObjD
86
83
0
13 Jan 2023
Style-Hallucinated Dual Consistency Learning: A Unified Framework for
  Visual Domain Generalization
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Yuyang Zhao
Zhun Zhong
Na Zhao
N. Sebe
G. Lee
130
32
0
18 Dec 2022
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Orthogonal SVD Covariance Conditioning and Latent Disentanglement
Yue Song
N. Sebe
Wei Wang
79
6
0
11 Dec 2022
Normalization Perturbation: A Simple Domain Generalization Method for
  Real-World Domain Shifts
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Qi Fan
Mattia Segu
Yu-Wing Tai
Feng Yu
Chi-Keung Tang
Bernt Schiele
Dengxin Dai
72
12
0
08 Nov 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Semantic Self-adaptation: Enhancing Generalization with a Single Sample
Sherwin Bahmani
Oliver Hahn
Eduard Zamfir
Nikita Araslanov
Daniel Cremers
Stefan Roth
OODTTAVLM
99
7
0
10 Aug 2022
Adversarial Style Augmentation for Domain Generalized Urban-Scene
  Segmentation
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation
Zhun Zhong
Yuyang Zhao
G. Lee
N. Sebe
OOD
98
73
0
11 Jul 2022
Batch-efficient EigenDecomposition for Small and Medium Matrices
Batch-efficient EigenDecomposition for Small and Medium Matrices
Yue Song
N. Sebe
Wei Wang
85
2
0
09 Jul 2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality
Yue Song
N. Sebe
Wei Wang
88
8
0
05 Jul 2022
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
Wenyu Zhang
Li Shen
Wanyue Zhang
Chuan-Sheng Foo
TTA
104
18
0
30 May 2022
Style-Hallucinated Dual Consistency Learning for Domain Generalized
  Semantic Segmentation
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
Yuyang Zhao
Zhun Zhong
Na Zhao
N. Sebe
G. Lee
117
102
0
06 Apr 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Yuliang Zou
Zizhao Zhang
Chun-Liang Li
Han Zhang
Tomas Pfister
Jia-Bin Huang
TTAOOD
104
14
0
30 Mar 2022
Fast Differentiable Matrix Square Root and Inverse Square Root
Fast Differentiable Matrix Square Root and Inverse Square Root
Yue Song
N. Sebe
Wei Wang
98
17
0
29 Jan 2022
Fast Differentiable Matrix Square Root
Fast Differentiable Matrix Square Root
Yue Song
N. Sebe
Wei Wang
93
14
0
21 Jan 2022
Test-time Batch Statistics Calibration for Covariate Shift
Test-time Batch Statistics Calibration for Covariate Shift
Fuming You
Jingjing Li
Zhou Zhao
OOD
68
56
0
06 Oct 2021
Improving Generalization of Batch Whitening by Convolutional Unit
  Optimization
Improving Generalization of Batch Whitening by Convolutional Unit Optimization
Yooshin Cho
Hanbyel Cho
Youngsoo Kim
Junmo Kim
39
2
0
24 Aug 2021
Stochastic Whitening Batch Normalization
Stochastic Whitening Batch Normalization
Shengdong Zhang
E. Nezhadarya
H. Fashandi
Jiayi Liu
Darin Graham
Mohak Shah
105
10
0
03 Jun 2021
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch
  Whitening
BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening
Wenqi Shao
Hang Yu
Zhaoyang Zhang
Hang Xu
Zhenguo Li
Ping Luo
AAML
19
2
0
13 May 2021
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSLOOD
193
197
0
02 May 2021
Deep Interpretable Models of Theory of Mind
Deep Interpretable Models of Theory of Mind
Ini Oguntola
Dana Hughes
Katia Sycara
HAI
81
28
0
07 Apr 2021
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation
  via Instance Selective Whitening
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
Sungha Choi
Sanghun Jung
Huiwon Yun
J. Kim
Seungryong Kim
Jaegul Choo
130
290
0
29 Mar 2021
Convolutional Normalization
Convolutional Normalization
M. Esposito
Nader Ganaba
55
0
0
19 Feb 2021
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature
  Redundancy
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy
Mengzhu Wang
Xiang Zhang
L. Lan
Wei Wang
Huibin Tan
Zhigang Luo
AI4CE
70
1
0
28 Dec 2020
Group Whitening: Balancing Learning Efficiency and Representational
  Capacity
Group Whitening: Balancing Learning Efficiency and Representational Capacity
Lei Huang
Yi Zhou
Li Liu
Fan Zhu
Ling Shao
108
22
0
28 Sep 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and
  Application
Normalization Techniques in Training DNNs: Methodology, Analysis and Application
Lei Huang
Jie Qin
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
AI4CE
176
272
0
27 Sep 2020
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
Wenxuan Zhou
Bill Yuchen Lin
Xiang Ren
91
25
0
02 May 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax
  Layer
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
Xiaoxu Li
Dongliang Chang
Zhanyu Ma
Zheng-Hua Tan
Jing-Hao Xue
Jie Cao
Jingyi Yu
Jun Guo
104
32
0
20 Apr 2020
Controllable Orthogonalization in Training DNNs
Controllable Orthogonalization in Training DNNs
Lei Huang
Li Liu
Fan Zhu
Diwen Wan
Zehuan Yuan
Bo Li
Ling Shao
78
44
0
02 Apr 2020
An Investigation into the Stochasticity of Batch Whitening
An Investigation into the Stochasticity of Batch Whitening
Lei Huang
Lei Zhao
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
108
19
0
27 Mar 2020
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of
  DNNs
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs
Lei Huang
Jie Qin
Li Liu
Fan Zhu
Ling Shao
AI4CE
86
11
0
25 Feb 2020
Regularizing activations in neural networks via distribution matching
  with the Wasserstein metric
Regularizing activations in neural networks via distribution matching with the Wasserstein metric
Taejong Joo
Donggu Kang
Byunghoon Kim
76
8
0
13 Feb 2020
Concept Whitening for Interpretable Image Recognition
Concept Whitening for Interpretable Image Recognition
Zhi Chen
Yijie Bei
Cynthia Rudin
FAtt
105
323
0
05 Feb 2020
Approximated Orthonormal Normalisation in Training Neural Networks
Approximated Orthonormal Normalisation in Training Neural Networks
Guoqiang Zhang
Kenta Niwa
W. Kleijn
58
3
0
21 Nov 2019
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch
  Noise
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise
Senwei Liang
Zhongzhan Huang
Mingfu Liang
Haizhao Yang
94
59
0
12 Aug 2019
Four Things Everyone Should Know to Improve Batch Normalization
Four Things Everyone Should Know to Improve Batch Normalization
Cecilia Summers
M. Dinneen
85
52
0
09 Jun 2019
Switchable Whitening for Deep Representation Learning
Switchable Whitening for Deep Representation Learning
Xingang Pan
Xiaohang Zhan
Jianping Shi
Xiaoou Tang
Ping Luo
123
153
0
22 Apr 2019
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