A SIMPLE AND UNIVERSAL ROTATION EQUIVARIANT POINT-CLOUD NETWORK

被引：0

作者：

Finkelshtein, Ben ^{[1
]}

Baskin, Chaim ^{[1
]}

Maron, Haggai ^{[2
]}

Dym, Nadav ^{[3
]}

机构：

[1] Technion, Fac Comp Sci, Haifa, Israel

[2] NVIDIA Res, Haifa, Israel

[3] Technion, Fac Math, Haifa, Israel

来源：

TOPOLOGICAL, ALGEBRAIC AND GEOMETRIC LEARNING WORKSHOPS 2022, VOL 196 | 2022年 / 196卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Equivariance to permutations and rigid motions is an important inductive bias for various 3D learning problems. Recently it has been shown that the equivariant Tensor Field Network architecture is universal- it can approximate any equivariant function. In this paper we suggest a much simpler architecture, prove that it enjoys the same universality guarantees and evaluate its performance on Modelnet40. The code to reproduce our experiments is available at https://github.com/simpleinvariance/UniversalNetwork

引用

页数：9

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