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Submission data

Full nameMulti-Transform Learning for Effective 3D Point Cloud Representations
Input Data TypesUses Color        Uses 3D
Programming language(s)python with CUDA
HardwareNVIDIA Tesla M40 and two E5-2650 CPUs
Submission creation date15 Jun, 2020
Last edited15 Sep, 2020

3D semantic label results

Infoavg ioubathtubbedbookshelfcabinetchaircountercurtaindeskdoorfloorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwallwindow
0.6320.7310.6880.6750.5910.7840.4440.5650.6100.4920.9490.4560.2540.5870.7060.5990.6650.6120.8680.7910.579