Lane Detection On Bdd100K Val
评估指标
Accuracy (%)
IoU (%)
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Accuracy (%) | IoU (%) |
|---|---|---|
| learning-lightweight-lane-detection-cnns-by | 36.6 | 16.02 |
| yolopv2-better-faster-stronger-for-panoptic | 87.8 | 27.25 |
| twinlitenetplus-a-stronger-model-for-real | 75.8 | 29.3 |
| twinlitenetplus-a-stronger-model-for-real | 70.2 | 23.3 |
| twinlitenet-an-efficient-and-lightweight | 77.8 | 31.08 |
| you-only-look-at-once-for-real-time-and | 84.9 | 28.8 |
| twinlitenetplus-a-stronger-model-for-real | 81.9 | 34.2 |
| twinlitenetplus-a-stronger-model-for-real | 79.1 | 32.3 |
| yolop-you-only-look-once-for-panoptic-driving | 70.5 | 26.2 |
| hybridnets-end-to-end-perception-network-1 | 85.4 | 31.6 |