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



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permissive0.3440.6670.8160.5930.0840.6400.0540.0590.4000.1660.2280.0270.3170.2010.1550.7350.2720.6740.100