Eigendecomposition-free Training of Deep Networks with Zero
Eigenvalue-based Losses

Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses

21 March 2018

Fei Wang

Mathieu Salzmann

Papers citing "Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses"

5 / 5 papers shown

Title
Real-time Trajectory-based Social Group Detection Simindokht Jahangard Munawar Hayat Hamid Rezatofighi 6 2 0 12 Apr 2023
MatchNorm: Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World Zheng Dang Lizhou Wang Yu-Xiao Guo Mathieu Salzmann 3DPC 12 14 0 29 Mar 2022
Fast Differentiable Matrix Square Root and Inverse Square Root Yue Song N. Sebe Wei Wang 16 15 0 29 Jan 2022
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace Zhiyi Pan Peng-Tao Jiang Yunhai Wang Changhe Tu Anthony G. Cohn UQCV 18 38 0 19 Feb 2021
High-dimensional Convolutional Networks for Geometric Pattern Recognition Chris Choy Junha Lee René Ranftl Jaesik Park V. Koltun 3DPC AI4CE 10 42 0 17 May 2020