Training Deep Networks with Structured Layers by Matrix Backpropagation

25 September 2015

Papers citing "Training Deep Networks with Structured Layers by Matrix Backpropagation"

25 / 25 papers shown

Title
SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines Dimitrios Mallis Sk Aziz Ali Elona Dupont K. Cherenkova Ahmet Serdar Karadeniz Mohammad Sadil Khan Anis Kacem Gleb Gusev Djamila Aouada 3DPC 30 11 0 30 Aug 2023
Orthogonal SVD Covariance Conditioning and Latent Disentanglement Yue Song N. Sebe Wei Wang 38 6 0 11 Dec 2022
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters Sung Moon Ko Sungjun Cho Dae-Woong Jeong Sehui Han Moontae Lee Ho Hin Lee 24 9 0 07 Sep 2022
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality Yue Song N. Sebe Wei Wang 24 8 0 05 Jul 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition Yue Song N. Sebe Wei Wang 38 33 0 26 May 2022
Fast Differentiable Matrix Square Root and Inverse Square Root Yue Song N. Sebe Wei Wang 27 16 0 29 Jan 2022
Fast Differentiable Matrix Square Root Yue Song N. Sebe Wei Wang 19 14 0 21 Jan 2022
Grassmannian learning mutual subspace method for image set recognition L. S. Souza Naoya Sogi B. Gatto Takumi Kobayashi Kazuhiro Fukui 27 11 0 08 Nov 2021
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Boddeti 37 5 0 12 Sep 2021
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? Yue Song N. Sebe Wei Wang 25 25 0 06 May 2021
Deep Graph Matching under Quadratic Constraint Quankai Gao Fudong Wang Nan Xue Jin-Gang Yu Guisong Xia 30 37 0 11 Mar 2021
Multi-Granularity Canonical Appearance Pooling for Remote Sensing Scene Classification Shidong Wang Yu Guan Ling Shao 17 97 0 09 Apr 2020
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective Qilong Wang Li Zhang Banggu Wu Dongwei Ren P. Li W. Zuo Q. Hu 22 21 0 25 Mar 2020
Decomposable-Net: Scalable Low-Rank Compression for Neural Networks A. Yaguchi Taiji Suzuki Shuhei Nitta Y. Sakata A. Tanizawa 19 9 0 29 Oct 2019
DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration Weixin Lu Guowei Wan Yao Zhou Xiangyu Fu P. Yuan Shiyu Song 3DPC 3DV 11 270 0 10 May 2019
Cascaded Projection: End-to-End Network Compression and Acceleration Breton L. Minnehan Andreas E. Savakis 18 26 0 12 Mar 2019
A Simple Riemannian Manifold Network for Image Set Classification Rui Wang Xiaojun Wu J. Kittler 13 3 0 27 May 2018
Decorrelated Batch Normalization Lei Huang Dawei Yang B. Lang Jia Deng 16 190 0 23 Apr 2018
Learning Monocular 3D Human Pose Estimation from Multi-view Images Helge Rhodin Jorg Sporri Isinsu Katircioglu Victor Constantin Frédéric Meyer Erich Müller Mathieu Salzmann Pascal Fua 3DH 23 241 0 13 Mar 2018
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization P. Li Jiangtao Xie Qilong Wang Zilin Gao 27 256 0 04 Dec 2017
COCO-Stuff: Thing and Stuff Classes in Context Holger Caesar J. Uijlings V. Ferrari 21 1,357 0 12 Dec 2016
Deep Metric Learning via Facility Location Hyun Oh Song Stefanie Jegelka V. Rathod Kevin Patrick Murphy 29 23 0 05 Dec 2016
Building Deep Networks on Grassmann Manifolds Zhiwu Huang Jiqing Wu Luc Van Gool 21 160 0 17 Nov 2016
A Riemannian Network for SPD Matrix Learning Zhiwu Huang Luc Van Gool 12 392 0 15 Aug 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014