Driver Visual Attention Prediction on DADA 2000 (test)
1.58KLDDiffAttn
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| DiffAttnInput=I+S, #=92M2026.03 | 1.58 | 0.51 | 0.36 | 3.49 | 95 | |
| MTSFInput=V+S, #=194M2026.03 | 1.61 | 0.51 | 0.36 | 3.44 | 93 | |
| SalEMAInput=V+S, #=218M2026.03 | 1.65 | 0.48 | 0.33 | 3.26 | 95 | |
| Gate-DAPInput=V+M, #=106M2026.03 | 1.65 | 0.52 | 0.36 | 3.14 | — | |
| SalM2Input=I+S, #=<0.1M2026.03 | 1.71 | 0.37 | 0.31 | 2.1 | 92 | |
| TASED-NetInput=V+S, #=21M2026.03 | 1.78 | 0.46 | 0.31 | 3.2 | 92 | |
| DrFixD-rainyInput=V+S, #=40M2026.03 | 1.78 | 0.45 | 0.29 | 3 | 94 | |
| CDNNInput=I+S, #=<1M2026.03 | 1.83 | 0.43 | 0.31 | 2.93 | 94 | |
| DPSNNInput=I+S, #=8M2026.03 | 1.84 | 0.43 | 0.3 | 2.89 | 94 | |
| FBLNetInput=I+S, #=87M2026.03 | 1.92 | 0.5 | 0.33 | 4.13 | 95 | |
| ACLNetInput=V+S2026.03 | 1.95 | 0.46 | 0.3 | 3.23 | 93 | |
| CPFEInput=I+S2026.03 | 2.18 | 0.33 | 0.21 | 2.43 | 91 | |
| SCAFNetInput=V+M, #=55M2026.03 | 2.19 | 0.5 | 0.37 | 3.34 | 92 | |
| Fu et al.Input=I+S, #=41M2026.03 | 2.3 | 0.47 | 0.34 | 3.21 | 91 | |
| MLNetInput=I+S, #=15M2026.03 | 11.78 | 0.04 | 0.07 | 0.3 | 59 |