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
Last uploaded21 Sep, 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