Review of paper by Hengshuang Zhao¹, Li Jiang², Jiaya Jia², et al, ¹University of Oxford, ²The Chinese University of Hong Kong, 2020

The authors develop a neural attention layer for working with 3D point data and implement it in a Point Transformer network that shows new state-of-the-art results (in some cases by a significant margin) on a number of standard 3D benchmarks.

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