3D Occupancy Forecasting on Lyft-Level5
46.7IoU (2D) @ 0.2sEfficientOCF
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EfficientOCFTraining sequence ratio=Full2024.11 | 46.7 | 46.2 | 45.59 | 44.96 | 43.54 | 43.07 | 42.49 | 41.9 | — | — | — | |
| OCFNetTraining sequence ratio=Full2024.11 | 45.18 | 44.77 | 44.27 | 43.67 | 39.4 | 39.02 | 38.59 | 38.14 | — | — | — | |
| PowerBEVTraining sequence ratio=Full2024.11 | 45.04 | 44.64 | 44.05 | 43.44 | 35.52 | 35.18 | 34.68 | 34.18 | — | — | — | |
| OccFormerTraining sequence ratio=Full2024.11 | 39.77 | 35.67 | 33.48 | 32.1 | 34.92 | 31.56 | 29.74 | 28.55 | — | — | — | |
| OpenOccupancyTraining sequence ratio=Full2024.11 | 37.24 | 36.62 | 35.86 | 35.11 | 32.03 | 31.19 | 30.45 | 29.73 | — | — | — | |
| EfficientOCFTraining sequence ratio=1/62024.11 | 35.35 | 34.64 | 33.93 | 33.24 | 32.88 | 32.43 | 31.78 | 31.12 | — | — | — | |
| OCFNetTraining sequence ratio=1/62024.11 | 35.05 | 34.46 | 33.8 | 33.12 | 30.39 | 29.97 | 29.45 | 28.92 | — | — | — | |
| EfficientOCFTraining data scale=Full training data2024.11 | — | — | — | — | — | — | — | — | 44.27 | 41.9 | 42.39 | |
| EfficientOCF-Training data scale=1/6 training sequences2024.11 | — | — | — | — | — | — | — | — | 33.95 | 31.12 | 31.7 | |
| OccFormerTraining data scale=Full training data2024.11 | — | — | — | — | — | — | — | — | 41.68 | 28.55 | 31 | |
| OCFNetTraining data scale=Full training data2024.11 | — | — | — | — | — | — | — | — | 39.71 | 38.14 | 38.46 | |
| OCFNet-Training data scale=1/6 training sequences2024.11 | — | — | — | — | — | — | — | — | 31.04 | 28.92 | 29.36 | |
| OpenOccupancyTraining data scale=Full training data2024.11 | — | — | — | — | — | — | — | — | 32.95 | 29.73 | 30.4 | |
| PowerBEVTraining data scale=Full training data2024.11 | — | — | — | — | — | — | — | — | 36.15 | 34.18 | 34.58 |