Submitted by kangcheng Liu.

Submission data

Full nameWS3D_LA_Ins
DescriptionData-Efficient 3D Scene Understanding
Publication titleWS3D: Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination
Publication authorsKangcheng Liu
Publication venueEuropean Conference on Computer Vision (ECCV), 2022
Publication URLhttps://link.springer.com/chapter/10.1007/978-3-031-19815-1_3
Input Data TypesUses Geometry        Uses 3D
Programming language(s)C++
HardwareCore i5 CPU, A Single GTX 1080Ti GPU
Submission creation date21 Aug, 2021
Last edited2 Aug, 2023

3D semantic instance results with limited annotations



Infoavg apbathtubbedbookshelfcabinetchaircountercurtaindeskdoorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwindow
permissive0.3360.6300.3860.2420.1730.5750.0070.5500.0500.1640.2320.1270.4240.6140.1980.4200.3140.7710.164