The explosion of “big data” applications imposes severe challenges of data processing speed and scalability on traditional computer systems. However, the performance of von Neumann machine is greatly hindered by the increasing performance gap between
ClaVis：用于分类器的交互式视觉比较系统
和更多内容都在。
完整设置和使用流程。
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如何引用
inproceedings{10.1145/3399715.3399814,
author = {Heyen, Frank and Munz, Tanja and Neumann, Michael and Ortega, Daniel and Vu, Ngoc Thang and Weiskopf, Daniel and Sedlmair, Michael},
title = {ClaVis
用于快速和可扩展的点云学习的Grid-GCN（CVPR2020）
请引用我们：
article{1912.02984,
Author = {Qiangeng Xu and Xudong Sun and Cho-Ying Wu and Panqu Wang and Ulrich Neumann},
Title = {Grid-GCN for Fast and Scalable Point Cloud Learning},
Year = {2019},
Eprint = {arXi
