Pedestrian crossing intention prediction on JAADbeh (test)
73AccuracyMFT
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| MFT2025.11 | 73 | 0.7 | 80 | 75 | 86 | |
| MTC2025.11 | 71 | 0.65 | 80 | 72 | 90 | |
| MTMGN2025.11 | 70 | 0.7 | 83 | 79 | 87 | |
| ACIT2025.11 | 70 | 0.62 | 79 | 69 | 93 | |
| RAIDN2025.11 | 70 | 0.68 | 75 | 75 | 77 | |
| RU-LSTM2025.11 | 69 | 0.62 | 78 | — | — | |
| SAM2025.11 | 67 | 0.6 | 77 | 68 | 90 | |
| STFF-MANet2025.11 | 66 | 0.58 | 77 | 67 | 89 | |
| LSOP-Net2025.11 | 65 | 0.54 | 78 | 65 | 98 | |
| TrouSPI-Net2025.11 | 64 | 0.56 | 76 | 66 | 91 | |
| ST CrossingPose2025.11 | 63 | 0.56 | 74 | 66 | 83 | |
| Global PCPA2025.11 | 62 | 0.54 | 74 | 65 | 85 | |
| V-PedCross2025.11 | 61 | 0.5 | 75 | 71 | 80 | |
| IntFormer2025.11 | 59 | 0.54 | 69 | — | — | |
| PCPA2025.11 | 56 | 0.54 | 63 | 66 | 60 |