Submitted by Jianan Wang.

Submission data

Full nameLearning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Publication titleLearning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
Publication authorsBo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni
Publication venueNeurIPS 2019 Spotlight
Publication URLhttps://arxiv.org/abs/1906.01140
Input Data TypesUses Color,Uses Geometry        Uses 3D
Programming language(s)Python
HardwareTitanX
Websitehttps://github.com/Yang7879/3D-BoNet
Submission creation date20 May, 2019
Last edited5 Sep, 2019

3D semantic instance results



Infoavg ap 25%bathtubbedbookshelfcabinetchaircountercurtaindeskdoorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwindow
0.6871.0000.8870.8360.5870.6430.5500.6200.7240.5220.5010.2430.5121.0000.7510.8070.6610.9090.612