| Full name | Using dual decoder U-Net and Point Grouping |
| Publication title | HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor |
| Publication authors | H. Liu, R. Liu, K. Yang, J. Zhang, K. Peng, R. Stiefelhagen |
| Publication venue | ICCVW 2021 |
| Publication URL | https://arxiv.org/abs/2107.03180 |
| Input Data Types | Uses Color,Uses Geometry Uses 3D |
| Programming language(s) | Python with Cuda |
| Hardware | RTX 3090 |
| Submission creation date | 5 Jul, 2021 |
| Last edited | 12 Aug, 2021 |
| Last uploaded | 3 Aug, 2021 |