Driver Attention Prediction on DADA-2000
1.64KLDFSDAM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| FSDAMTraining Data=BDD-A-90 (few-shot)2025.11 | 1.64 | 0.33 | 0.44 | 2.95 | 0.92 | 0.86 | |
| DADANetResolution=224x224, Instance Segmentation=YOLO-v112025.12 | 1.646 | 0.353 | 0.484 | 3.365 | — | — | |
| DriverGaze360-NetResolution=224x224, Instance Segmentation=YOLO-v11, Backbone=Swin-S, Pretrained=Kinetics-4002025.12 | 1.654 | 0.396 | 0.506 | 3.478 | — | — | |
| ViNet++Resolution=224x224, Instance Segmentation=YOLO-v112025.12 | 1.719 | 0.352 | 0.472 | 3.234 | — | — | |
| FBLNetResolution=224x224, Instance Segmentation=YOLO-v112025.12 | 1.818 | 0.369 | 0.48 | 3.305 | — | — | |
| BDDAResolution=224x224, Instance Segmentation=YOLO-v112025.12 | 1.82 | 0.29 | 0.44 | 2.805 | — | — | |
| DBNetTraining Data=Full BDD-A2025.11 | 1.89 | 0.29 | 0.41 | 3.08 | 0.93 | 0.85 | |
| Dr(eye)VEResolution=224x224, Instance Segmentation=YOLO-v112025.12 | 2.065 | 0.325 | 0.451 | 2.92 | — | — | |
| U²-NetTraining Data=Full BDD-A2025.11 | 2.18 | 0.37 | 0.42 | 2.73 | 0.91 | 0.82 | |
| DeepLabV3Training Data=Full BDD-A2025.11 | 10.26 | 0.19 | 0.42 | 2.23 | 0.96 | 0.73 | |
| MINetTraining Data=Full BDD-A2025.11 | 10.45 | 0.14 | 0.32 | 2.02 | 0.82 | 0.73 |