Submitted by kangcheng Liu.
Submission data
| Full name | WS3D_LA_Sem |
| Description | Data-Efficient 3D Scene Understanding |
| Publication title | WS3D: Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination |
| Publication authors | Kangcheng Liu |
| Publication venue | European Conference on Computer Vision (ECCV), 2022 |
| Publication URL | https://link.springer.com/chapter/10.1007/978-3-031-19815-1_3 |
| Input Data Types | Uses Geometry Uses 3D |
| Programming language(s) | Python |
| Hardware | Core i5 CPU, A Single GTX 1080Ti GPU |
| Submission creation date | 19 Aug, 2021 |
| Last edited | 2 Aug, 2023 |
3D semantic label results with limited annotations
