Driver distraction detection on Drive&Act Skeleton
40.72Avg Balanced AccuracyMM RxID
Evaluation Results
| Method | Links | |
|---|---|---|
| MM RxIDLoss=MM RxID, Alignment=GMA, Evaluation Protocol=Linear Evaluation Protocol (LEP)2026.06 | 40.72 | |
| RxIDLoss=RxID, Alignment=LMA, Evaluation Protocol=Linear Evaluation Protocol (LEP)2026.06 | 39.86 | |
| CMVRALoss=CMVRA, Alignment=GMA, Evaluation Protocol=Linear Evaluation Protocol (LEP)2026.06 | 39.19 | |
| MM CMA-STLoss=MM CMA-ST, Alignment=GMA, Evaluation Protocol=Linear Evaluation Protocol (LEP)2026.06 | 38.43 | |
| InfoNCE balancedLoss=InfoNCE balanced, Alignment=GMA, Evaluation Protocol=Linear Evaluation Protocol (LEP)2026.06 | 38.28 | |
| MM WxIDLoss=MM WxID, Alignment=GMA, Evaluation Protocol=Linear Evaluation Protocol (LEP)2026.06 | 37.77 | |
| InfoNCELoss=InfoNCE, Alignment=LMA, Evaluation Protocol=Linear Evaluation Protocol (LEP)2026.06 | 36.03 | |
| WxIDLoss=WxID, Alignment=LMA, Evaluation Protocol=Linear Evaluation Protocol (LEP)2026.06 | 36.03 | |
| CMA-STLoss=CMA-ST, Alignment=LMA, Evaluation Protocol=Linear Evaluation Protocol (LEP)2026.06 | 35.7 |