Pedestrian crossing intention prediction on PIE set03 (test) benchmark leaderboard · SOTA2 Research

Pedestrian crossing intention prediction on PIE set03 (test)

94AccuracyFaster-PCPNet

Evaluation Results

Method	Links
Faster-PCPNet2025.11		94	92	89	89	88
RAIDN2025.11		92	89	85	82	89
MTMGN2025.11		90	87	92	95	90
PFRN2025.11		90	85	77	81	74
GTransPDM2025.11		90	87	82	—	86
MFT2025.11		90	94	83	83	82
IntFormer2025.11		89	92	81	—	—
Global PCPA2025.11		89	86	80	79	81
MMH-PAP2025.11		89	88	81	77	—
V-PedCross2025.11		89	88	67	74	84
STFF-MANet2025.11		89	88	82	79	85
LSOP-Net2025.11		89	87	81	80	82
TrouSPI-Net2025.11		88	88	80	73	89
PCPA2025.11		87	85	78	76	81
RU-LSTM2025.11		87	84	77	—	—
Dual-STGAT2025.11		86	87	91	92	90