Lane Detection On Curvelanes
평가 지표
F1 score
GFLOPs
Precision
Recall
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | F1 score | GFLOPs | Precision | Recall |
|---|---|---|---|---|
| canet-curved-guide-line-network-with-adaptive | 86.57 | 13.1 | 91.37 | 82.25 |
| canet-curved-guide-line-network-with-adaptive | 87.19 | 22.6 | 91.53 | 83.25 |
| curvelane-nas-unifying-lane-sensitive | 50.31 | 3.9 | 63.6 | 41.6 |
| condlanenet-a-top-to-down-lane-detection | 86.10 | 44.9 | 88.98 | 83.41 |
| canet-curved-guide-line-network-with-adaptive | - | 45.7 | - | 84.36 |
| clrernet-improving-confidence-of-lane | 86.1 | 18.4 | 91.4 | 81.39 |
| curvelane-nas-unifying-lane-sensitive | 65.02 | 328.4 | 76.13 | 56.74 |
| canet-curved-guide-line-network-with-adaptive | 87.87 | - | 91.69 | - |
| curvelane-nas-unifying-lane-sensitive | 81.12 | 7.4 | 93.58 | 71.59 |
| generating-dynamic-kernels-via-transformers | 88.47 | - | - | - |
| generating-dynamic-kernels-via-transformers | 87.99 | - | - | - |
| clrernet-improving-confidence-of-lane | 86.47 | 18.4 | 91.66 | 81.83 |
| curvelane-nas-unifying-lane-sensitive | 78.47 | 14.8 | 86.33 | 72.91 |
| curvelane-nas-unifying-lane-sensitive | 81.8 | 11.6 | 93.49 | 72.71 |
| condlanenet-a-top-to-down-lane-detection | 85.92 | 19.7 | 88.29 | 83.68 |
| generating-dynamic-kernels-via-transformers | 88.23 | - | - | - |
| curvelane-nas-unifying-lane-sensitive | 82.29 | 20.7 | 91.11 | 75.03 |
| condlanenet-a-top-to-down-lane-detection | 85.09 | 10.3 | 87.75 | 82.58 |