Drivable Area Detection On Bdd100K Val
Metrics
Params (M)
mIoU
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Params (M) | mIoU |
|---|---|---|
| twinlitenetplus-a-stronger-model-for-real | 0.03 | 87.3 |
| twinlitenetplus-a-stronger-model-for-real | 1.94 | 92.9 |
| hybridnets-end-to-end-perception-network-1 | 12.8 | 90.5 |
| twinlitenetplus-a-stronger-model-for-real | 0.48 | 92.0 |
| yolop-you-only-look-once-for-panoptic-driving | 7.9 | 91.5 |
| twinlitenet-an-efficient-and-lightweight | 0.43 | 91.3 |
| twinlitenetplus-a-stronger-model-for-real | 0.12 | 90.6 |
| you-only-look-at-once-for-real-time-and | - | 91 |
| yolopv2-better-faster-stronger-for-panoptic | 38.9 | 93.2 |