| Full name | Omni-Dimensional Instance Segmentation |
| Description | ODIN is a single model for 2D and 3D perception. |
| Publication title | ODIN: A Single Model for 2D and 3D Segmentation |
| Publication authors | Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki |
| Publication venue | CVPR 2024 |
| Publication URL | https://arxiv.org/abs/2401.02416 |
| Input Data Types | Uses Color,Uses Geometry Uses 2D,Uses 3D |
| Programming language(s) | Pytorch / Python |
| Hardware | A6000 / 48GB VRAM |
| Website | https://odin-seg.github.io/ |
| Source code or download URL | https://odin-seg.github.io/ |
| Submission creation date | 23 Nov, 2023 |
| Last edited | 27 Apr, 2025 |
| Last uploaded | 25 Mar, 2024 |
