Submitted by ChinaUnicom -AI.

Submission data

Full name2D-3D Hybrid Convolutional Neural Network
DescriptionThis is a framework which extends data by combining 2D and 3D data to get accurate segmentation results.
Input Data TypesUses Color,Uses Geometry        Uses 2D,Uses 3D
Programming language(s)C++,PyTorch,Python
HardwareGeForce 2080Ti 8GB,i7-8700k
Submission creation date10 Dec, 2019
Last edited6 Jan, 2023

3D semantic label results

Infoavg ioubathtubbedbookshelfcabinetchaircountercurtaindeskdoorfloorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwallwindow
0.7640.9240.8190.8400.7570.8530.5800.8480.7090.6430.9580.5870.2950.7530.8840.7580.8150.7250.9270.8670.743