Submitted by kangcheng Liu.

Submission data

Full nameWS3D_LR_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 date24 Aug, 2021
Last edited2 Aug, 2023

3D object detection results with limited reconstructions



Infoavg ap 50%bathtubbedbookshelfcabinetchaircountercurtaindeskdoorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwindow
permissive0.3701.0000.8030.7020.0820.6710.0280.1090.3320.1890.2590.0220.3510.0090.1390.7380.2910.7580.176