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Riemannian batch normalization for SPD neural networks

Riemannian batch normalization for SPD neural networks

3 September 2019
Daniel A. Brooks
Olivier Schwander
F. Barbaresco
J. Schneider
Matthieu Cord
ArXivPDFHTML

Papers citing "Riemannian batch normalization for SPD neural networks"

20 / 20 papers shown
Title
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices
Thibault de Surrel
Fabien Lotte
Sylvain Chevallier
Florian Yger
100
1
0
03 Feb 2025
SPDFusion: An Infrared and Visible Image Fusion Network Based on a Non-Euclidean Representation of Riemannian Manifolds
SPDFusion: An Infrared and Visible Image Fusion Network Based on a Non-Euclidean Representation of Riemannian Manifolds
Huan Kang
Hui Li
Tianyang Xu
Rui Wang
Xiao Wu
J. Kittler
97
0
0
16 Nov 2024
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Ya-Wei Eileen Lin
Ronald R. Coifman
Zhengchao Wan
Ronen Talmon
156
3
0
28 Oct 2024
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Deep Optimal Transport for Domain Adaptation on SPD Manifolds
Ce Ju
Cuntai Guan
98
3
0
15 Jan 2022
Learning to Approximate a Bregman Divergence
Learning to Approximate a Bregman Divergence
Ali Siahkamari
Xide Xia
Venkatesh Saligrama
D. Castañón
Brian Kulis
31
7
0
28 May 2019
Fisher-Bures Adversary Graph Convolutional Networks
Fisher-Bures Adversary Graph Convolutional Networks
Ke Sun
Piotr Koniusz
Zhen Wang
GNN
44
34
0
11 Mar 2019
ManifoldNet: A Deep Network Framework for Manifold-valued Data
ManifoldNet: A Deep Network Framework for Manifold-valued Data
Rudrasis Chakraborty
Jose J. Bouza
J. Manton
B. Vemuri
43
16
0
11 Sep 2018
A Statistical Recurrent Model on the Manifold of Symmetric Positive
  Definite Matrices
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices
Rudrasis Chakraborty
Chun-Hao Yang
Xingjian Zhen
Monami Banerjee
Derek B. Archer
David E Vaillancourt
Vikas Singh
B. Vemuri
46
38
0
29 May 2018
Natural Langevin Dynamics for Neural Networks
Natural Langevin Dynamics for Neural Networks
Gaétan Marceau-Caron
Yann Ollivier
BDL
66
30
0
04 Dec 2017
Towards Faster Training of Global Covariance Pooling Networks by
  Iterative Matrix Square Root Normalization
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization
P. Li
Jiangtao Xie
Qilong Wang
Zilin Gao
56
256
0
04 Dec 2017
Learning a Robust Representation via a Deep Network on Symmetric
  Positive Definite Manifolds
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds
Zhi Gao
Yuwei Wu
Xingyuan Bu
Yunde Jia
61
32
0
17 Nov 2017
DeepKSPD: Learning Kernel-matrix-based SPD Representation for
  Fine-grained Image Recognition
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition
M. Engin
Lei Wang
Luping Zhou
Xinwang Liu
46
54
0
11 Nov 2017
When Kernel Methods meet Feature Learning: Log-Covariance Network for
  Action Recognition from Skeletal Data
When Kernel Methods meet Feature Learning: Log-Covariance Network for Action Recognition from Skeletal Data
Jacopo Cavazza
Pietro Morerio
Vittorio Murino
47
10
0
03 Aug 2017
Deep manifold-to-manifold transforming network for action recognition
Deep manifold-to-manifold transforming network for action recognition
Tong Zhang
Wenming Zheng
Zhen Cui
Chaolong Li
34
20
0
30 May 2017
Deep Learning on Lie Groups for Skeleton-based Action Recognition
Deep Learning on Lie Groups for Skeleton-based Action Recognition
Zhiwu Huang
Chengde Wan
Thomas Probst
Luc Van Gool
3DH
62
280
0
18 Dec 2016
Building Deep Networks on Grassmann Manifolds
Building Deep Networks on Grassmann Manifolds
Zhiwu Huang
Jiqing Wu
Luc Van Gool
58
162
0
17 Nov 2016
A Riemannian Network for SPD Matrix Learning
A Riemannian Network for SPD Matrix Learning
Zhiwu Huang
Luc Van Gool
56
397
0
15 Aug 2016
Riemannian Gaussian Distributions on the Space of Symmetric Positive
  Definite Matrices
Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices
Salem Said
Lionel Bombrun
Y. Berthoumieu
J. Manton
44
140
0
07 Jul 2015
Supervised LogEuclidean Metric Learning for Symmetric Positive Definite
  Matrices
Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices
Florian Yger
Masashi Sugiyama
52
27
0
12 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
448
43,277
0
11 Feb 2015
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