Submitted by HungYueh Chiang.

Submission data

Full nameA joint framework for 3D scene semantic segmentation.
DescriptionWe present a unified point-based framework for 3D point cloud segmentation that effectively optimizes pixel-level features, geometrical structures and global context priors of an entire scene.
Publication titleA Unified Point-Based Framework for 3D Segmentation
Publication authorsHung-Yueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu, Winston H. Hsu
Publication venue3DV 2019
Publication URLhttps://arxiv.org/abs/1908.00478
Input Data TypesUses Color,Uses Geometry        Uses 2D,Uses 3D
Programming language(s)Python with Tensorflow
HardwareNVIDIA TESLA P100 16GB GPU
Websitehttps://arxiv.org/abs/1908.00478
Source code or download URLhttps://github.com/ken012git/joint_point_based
Submission creation date25 Oct, 2018
Last edited18 Aug, 2019

3D semantic label results

Infoavg ioubathtubbedbookshelfcabinetchaircountercurtaindeskdoorfloorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwallwindow
permissive0.6340.6140.7780.6670.6330.8250.4200.8040.4670.5610.9510.4940.2910.5660.4580.5790.7640.5590.8380.8140.598