| Generating Dynamic Kernels via Transformers for Lane Detection | ✓ Link | 88.47 | | | | | CondLSTR (ResNet-101) | 2023-01-01 |
| Generating Dynamic Kernels via Transformers for Lane Detection | ✓ Link | 88.23 | | | | | CondLSTR (ResNet-34) | 2023-01-01 |
| Generating Dynamic Kernels via Transformers for Lane Detection | ✓ Link | 87.99 | | | | | CondLSTR (ResNet-18) | 2023-01-01 |
| CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection | | 87.87 | | 91.69 | | | CANet-L | 2023-04-23 |
| CLRNetV2: A Faster and Stronger Lane Detector | | 87.81 | | | | | CLRNetV2 (ResNet101) | 2025-03-18 |
| GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection | ✓ Link | 87.35 | 14.7 | 92.13 | 83.05 | | GFSR (RepViT) | 2026-05-22 |
| CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection | | 87.19 | 22.6 | 91.53 | 83.25 | | CANet-M | 2023-04-23 |
| GFSR: Geometric Fidelity and Spatial Refinement for Reliable Lane Detection | ✓ Link | 87.03 | 18.8 | 91.67 | 82.83 | | GFSR (DLA34) | 2026-05-22 |
| CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection | | 86.57 | 13.1 | 91.37 | 82.25 | | CANet-S | 2023-04-23 |
| CLRerNet: Improving Confidence of Lane Detection with LaneIoU | ✓ Link | 86.47 | 18.4 | 91.66 | 81.83 | | CLRerNet-DLA34 | 2023-05-15 |
| CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution | ✓ Link | 86.10 | 44.9 | 88.98 | 83.41 | 48 | CondLaneNet-L(ResNet-101) | 2021-05-11 |
| CLRerNet: Improving Confidence of Lane Detection with LaneIoU | ✓ Link | 86.1 | 18.4 | 91.4 | 81.39 | | CLRNet-DLA34 | 2023-05-15 |
| CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution | ✓ Link | 85.92 | 19.7 | 88.29 | 83.68 | 109 | CondLaneNet-M(ResNet-34) | 2021-05-11 |
| CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution | ✓ Link | 85.09 | 10.3 | 87.75 | 82.58 | 154 | CondLaneNet-S(ResNet-18) | 2021-05-11 |
| CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending | ✓ Link | 82.29 | 20.7 | 91.11 | 75.03 | | CurveLane-L | 2020-07-23 |
| CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending | ✓ Link | 81.8 | 11.6 | 93.49 | 72.71 | | CurveLane-M | 2020-07-23 |
| CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending | ✓ Link | 81.12 | 7.4 | 93.58 | 71.59 | | CurveLane-S | 2020-07-23 |
| CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending | ✓ Link | 78.47 | 14.8 | 86.33 | 72.91 | | PointLaneNet | 2020-07-23 |
| CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending | ✓ Link | 65.02 | 328.4 | 76.13 | 56.74 | | SCNN | 2020-07-23 |
| CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending | ✓ Link | 50.31 | 3.9 | 63.6 | 41.6 | | Enet-SAD | 2020-07-23 |
| CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection | | | 45.7 | | 84.36 | | CANet-L(ResNet101) | 2023-04-23 |