Submitted by weiguang Zhao.

Submission data

Full nameDivide and Conquer: 3D Instance Segmentation With Point-Wise Binarization
DescriptionBinarization and classification of each point in the point cloud
Publication titleDivide and Conquer: 3D Instance Segmentation With Point-Wise Binarization
Publication authorsW.Zhao, Y.Yan, C.Yang, J.Ye,X.Yang,K.Huang
Publication venueICCV 2023
Publication URLhttps://openaccess.thecvf.com/content/ICCV2023/html/Zhao_Divide_and_Conquer_3D_Point_Cloud_Instance_Segmentation_With_Point-Wise_ICCV_2023_paper.html
Input Data TypesUses Color,Uses Geometry        Uses 3D
Programming language(s)C++ Cuda python pytorch
Hardware3090
Submission creation date25 Nov, 2021
Last edited10 Oct, 2023

3D semantic instance results



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permissive0.5730.9260.5750.6190.4720.7360.2390.4870.3830.4590.5060.5330.5850.7670.4040.7170.5590.9690.381