Submitted by kangcheng Liu.

Submission data

Full nameWS3D_LA_OD
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 date26 Aug, 2021
Last edited2 Aug, 2023

3D object detection results with limited annotations



Infoavg ap 50%bathtubbedbookshelfcabinetchaircountercurtaindeskdoorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwindow
permissive0.3661.0000.8250.6980.0680.6650.0070.2100.4090.1730.1890.0190.3750.0620.1760.7300.2270.5870.162