ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning

20 October 2021

Papers citing "ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning"

6 / 6 papers shown

Title
Rethinking Attention Module Design for Point Cloud Analysis Chengzhi Wu Kaige Wang Zeyun Zhong Hao Fu Junwei Zheng Jiaming Zhang Julius Pfrommer Jürgen Beyerer 3DPC 40 1 0 27 Jul 2024
Meta Architecture for Point Cloud Analysis Haojia Lin Xiawu Zheng Lijiang Li Fei Chao Sha Wang Yan Wang Yonghong Tian Rongrong Ji 3DPC 22 44 0 26 Nov 2022
PointMixer: MLP-Mixer for Point Cloud Understanding Jaesung Choe Chunghyun Park François Rameau Jaesik Park In So Kweon 3DPC 32 98 0 22 Nov 2021
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 145 760 0 30 Mar 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016