Submitted by Huayao Liu.

Submission data

Full nameUsing dual decoder U-Net and Point Grouping
Publication titleHIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor
Publication authorsH. Liu, R. Liu, K. Yang, J. Zhang, K. Peng, R. Stiefelhagen
Publication venueICCVW 2021
Publication URLhttps://arxiv.org/abs/2107.03180
Input Data TypesUses Color,Uses Geometry        Uses 3D
Programming language(s)Python with Cuda
HardwareRTX 3090
Submission creation date5 Jul, 2021
Last edited12 Aug, 2021

3D semantic instance results



Infoavg apbathtubbedbookshelfcabinetchaircountercurtaindeskdoorotherfurniturepicturerefrigeratorshower curtainsinksofatabletoiletwindow
0.4360.6300.5080.4800.3100.6240.0650.6380.1740.2560.3840.1940.4280.7590.2890.5740.4000.8490.291