Published May 10, 2025
| Version latest
Model
Open
SOUL model docker image for the paper: Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination
Authors/Creators
-
1.
Centre Inria de l'Université Grenoble Alpes
-
2.
UMR Botanique et Modélisation de l'Architecture des Plantes et des végétations
Contributors
Contact persons:
Editors:
-
1.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
- 2. CIRAD Département Systèmes biologiques
Description
The is the docker image for SOUL model, implemented in the paper:
Bai, Y., Durand, J.-B., Vincent, G., & Forbes, F. (2023). Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. In A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), Advances in neural information processing systems (Vol. 36, pp. 48293–48313). Curran Associates, Inc.
Files
Files
(14.9 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:c9f76bf6c4eaaa1343f84cf7f0671677
|
14.9 GB | Download |
Additional details
Related works
- Is supplement to
- Conference paper: arXiv:2305.16963 (arXiv)
Dates
- Available
-
2025-05-10
Software
- Repository URL
- https://github.com/Na1an/phd_mission
- Programming language
- Python
- Development Status
- Active
References
- Bai, Y., Durand, J.-B., Vincent, G., & Forbes, F. (2023). Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination. In A. Oh, T. Neumann, A. Globerson, K. Saenko, M. Hardt, & S. Levine (Eds.), Advances in neural information processing systems (Vol. 36, pp. 48293–48313). Curran Associates, Inc.