Driver attention prediction on BDD-A In-domain (test)
0.6CCLLada
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| LLadaSupervision Regime=Fully Supervised, Training Data=Full BDD-A, Source=Original paper2025.11 | 0.6 | 1.16 | 0.47 | — | — | — | |
| FSDAMSupervision Regime=Few-Shot, Training Data=BDD-A-902025.11 | 0.6 | 1.13 | 0.43 | 0.96 | 0.91 | 4.1 | |
| DBNetSupervision Regime=Fully Supervised, Training Data=Full BDD-A2025.11 | 0.57 | 1.3 | 0.41 | 0.95 | 0.91 | 4.41 | |
| U²-NetSupervision Regime=Fully Supervised, Training Data=Full BDD-A2025.11 | 0.56 | 1.5 | 0.47 | 0.94 | 0.88 | 3.95 | |
| DeepLabV3Supervision Regime=Fully Supervised, Training Data=Full BDD-A2025.11 | 0.47 | 9.62 | 0.21 | 0.97 | 0.75 | 2.56 | |
| MINetSupervision Regime=Fully Supervised, Training Data=Full BDD-A2025.11 | 0.46 | 10.3 | 0.16 | 0.89 | 0.82 | 3.67 | |
| LLadaSupervision Regime=Few-Shot, Training Data=BDD-A-90, Mode=Fine-tuned2025.11 | 0.37 | 1.86 | 0.32 | 0.91 | 0.81 | 2.91 | |
| U²-NetSupervision Regime=Few-Shot, Training Data=BDD-A-90, Mode=Fine-tuned2025.11 | 0.1 | 3.43 | 0.13 | 0.74 | 0.68 | 0.63 |