Submitted by Jonas Schult.

Submission data

Full nameMask3D for 3D Semantic Instance Segmentation
Publication titleMask3D for 3D Semantic Instance Segmentation
Publication authorsJonas Schult, Francis Engelmann, Alexander Hermans, Or Litany, Siyu Tang, Bastian Leibe
Publication venueICRA 2023
Publication URLhttps://jonasschult.github.io/Mask3D/
Input Data TypesUses Color,Uses Geometry        Uses 3D
Programming language(s)Python
HardwareNVIDIA A40
Websitehttps://jonasschult.github.io/Mask3D/
Source code or download URLhttps://github.com/JonasSchult/Mask3D
Submission creation date30 Mar, 2022
Last edited17 Jan, 2023

3D semantic instance results



Infoavg ap 25%bathtubbedbookshelfcabinetchaircountercurtaindeskdoorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwindow
0.8701.0000.9850.7820.8180.9380.7600.7490.9230.8770.7600.7850.8201.0000.9120.8640.8780.9830.825