| --- |
| license: cc-by-nc-sa-4.0 |
| datasets: |
| - shdragron/RoboGeo |
| tags: |
| - autonomous-driving |
| - bev-perception |
| - multi-camera |
| - robustness |
| - 3d-object-detection |
| - bev-segmentation |
| --- |
| |
| # RoboGeo checkpoints |
|
|
| Trained checkpoints for **RoboGeo: Benchmarking Camera-Geometry Robustness in Multi-Camera BEV Perception** |
| (WACV 2027) · [Project page](https://robogeo2027.github.io/) · [Dataset](https://huggingface.co/datasets/shdragron/RoboGeo) |
|
|
| Each model is trained on one platform of RoboGeo. The Sedan models are evaluated under viewpoint |
| perturbation and cross-platform transfer; the SUV and Bus models are the models trained on the target |
| platforms of cross-platform transfer. |
|
|
| ## 3D object detection |
|
|
| | model | platform | file | size | sha256 (first 16) | |
| |---|---|---|---|---| |
| | BEVFormer-tiny | Sedan | `detection/bevformer_tiny/bevformer_tiny_sedan.pth` | 134 MB | `e166f0aec95b1cff` | |
| | BEVFormer-tiny | SUV | `detection/bevformer_tiny/bevformer_tiny_suv.pth` | 134 MB | `68192ad4ce650624` | |
| | BEVFormer-tiny | Bus | `detection/bevformer_tiny/bevformer_tiny_bus.pth` | 134 MB | `2e5370a87ea68f81` | |
| | CAPE | Sedan | `detection/cape/cape_sedan.pth` | 245 MB | `664d2d6f53303c5f` | |
| | CAPE | SUV | `detection/cape/cape_suv.pth` | 245 MB | `e09f1e8893512ecf` | |
| | CAPE | Bus | `detection/cape/cape_bus.pth` | 245 MB | `9b2d48e700db18ae` | |
|
|
| ## BEV segmentation |
|
|
| | model | platform | file | size | sha256 (first 16) | |
| |---|---|---|---|---| |
| | GaussianLSS | Sedan | `segmentation/gaussianlss/gaussianlss_sedan.pth` | 33.8 MB | `4ca7cf0901b99c34` | |
| | GaussianLSS | SUV | `segmentation/gaussianlss/gaussianlss_suv.pth` | 33.8 MB | `087171e00240fcaf` | |
| | GaussianLSS | Bus | `segmentation/gaussianlss/gaussianlss_bus.pth` | 33.8 MB | `149d3bd36c34cd17` | |
| | CVT | Sedan | `segmentation/cvt/cvt_sedan.pth` | 4.5 MB | `ded6a2c934a89edb` | |
| | CVT | SUV | `segmentation/cvt/cvt_suv.pth` | 4.5 MB | `946356200d2cdff1` | |
| | CVT | Bus | `segmentation/cvt/cvt_bus.pth` | 4.5 MB | `257bdae34378407e` | |
|
|
| Full checksums are in `SHA256SUMS`. Detection checkpoints hold `state_dict` and `meta.CLASSES`; |
| segmentation checkpoints hold `state_dict`. All load with `torch.load(path, weights_only=True)`. |
| Training and evaluation code: [shdragron/RoboGeo](https://github.com/shdragron/RoboGeo). |
|
|
| ## License |
|
|
| Released under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/), the license of the |
| RoboGeo dataset the models are trained on. The model architectures come from BEVFormer and CAPE |
| (Apache-2.0), and from GaussianLSS and Cross View Transformers (MIT). When using these checkpoints, |
| please cite RoboGeo, SimBEV and CARLA as listed in the |
| [dataset card](https://huggingface.co/datasets/shdragron/RoboGeo). |
|
|
