Submitted by Angela Dai.

Submission data

Full name3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
Description2D projections of 3D semantic segmentation predictions
Publication title3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
Publication authorsAngela Dai, Matthias Niessner
Publication venueECCV'18
Publication URLhttps://arxiv.org/abs/1803.10409
Input Data TypesUses Color,Uses Geometry        Uses 2D,Uses 3D
Programming language(s)pytorch
HardwareGTX 1080
Submission creation date13 Jul, 2018
Last edited14 Jul, 2018

2D semantic label results

Infoavg ioubathtubbedbookshelfcabinetchaircountercurtaindeskdoorfloorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwallwindow
0.4980.4810.6120.5790.4560.3430.3840.6230.5250.3810.8450.2540.2640.5570.1820.5810.5980.4290.7600.6610.446