CANet-L
Reported on 4 benchmarks across 2 tasks · 1 paper · 2 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Robots2 results
- F1 score· 2023-04-23SOTA87.87best: 88.47 (CondLSTR (ResNet-101))
- Precision· 2023-04-2391.69best: 93.58 (CurveLane-S)
Computer Vision2 results
- F1 score· 2023-04-23SOTA87.87best: 88.47 (CondLSTR (ResNet-101))
- Precision· 2023-04-2391.69best: 93.58 (CurveLane-S)