A-YOLOM(s)

Reported on 6 benchmarks across 4 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

Drivable Area DetectiononBDD100K val
mIoU· 2023-10-02
91
best: 93.2 (YOLOPv2)
You Only Look at Once for Real-time and Generic Multi-Task arXiv:2310.01641
Lane DetectiononBDD100K val
Accuracy (%)· 2023-10-02
84.9
best: 87.8 (YOLOPv2)
You Only Look at Once for Real-time and Generic Multi-Task arXiv:2310.01641
Lane DetectiononBDD100K val
IoU (%)· 2023-10-02
28.8
best: 34.2 (TwinLiteNetPlus-Large)
You Only Look at Once for Real-time and Generic Multi-Task arXiv:2310.01641

Robots2 results

Autonomous VehiclesonBDD100K val
Accuracy (%)· 2023-10-02
84.9
best: 87.8 (YOLOPv2)
You Only Look at Once for Real-time and Generic Multi-Task arXiv:2310.01641
Autonomous VehiclesonBDD100K val
IoU (%)· 2023-10-02
28.8
best: 34.2 (TwinLiteNetPlus-Large)
You Only Look at Once for Real-time and Generic Multi-Task arXiv:2310.01641

Methodology1 result

2D Object DetectiononBDD100K val
mIoU· 2023-10-02
91
best: 93.2 (YOLOPv2)
You Only Look at Once for Real-time and Generic Multi-Task arXiv:2310.01641