Bird S Eye View Semantic Segmentation On
Métriques
IoU veh - 224x480 - No vis filter - 100x50 at 0.25
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | IoU veh - 224x480 - No vis filter - 100x50 at 0.25 |
|---|---|
| monocular-semantic-occupancy-grid-mapping | 8.8 |
| Modèle 2 | - |
| cross-view-transformers-for-real-time-map | - |
| pointbev-a-sparse-approach-to-bev-predictions | - |
| tbp-former-learning-temporal-bird-s-eye-view | - |
| petrv2-a-unified-framework-for-3d-perception | - |
| matrixvt-efficient-multi-camera-to-bev | - |
| a-simple-baseline-for-bev-perception-without | - |
| tbp-former-learning-temporal-bird-s-eye-view | - |
| lara-latents-and-rays-for-multi-camera-bird-s | - |
| lift-splat-shoot-encoding-images-from | - |
| pointbev-a-sparse-approach-to-bev-predictions | - |
| fiery-future-instance-prediction-in-bird-s | - |
| baeformer-bi-directional-and-early | - |
| bevformer-learning-bird-s-eye-view | - |
| fiery-future-instance-prediction-in-bird-s | 41.1 |
| st-p3-end-to-end-vision-based-autonomous | - |