Pedestrian Intention Prediction on JAAD (All) benchmark leaderboard · SOTA2 Research

Pedestrian Intention Prediction on JAAD (All)

93AccuracyMFT

Evaluation Results

Method	Links
MFT2025.11		93	97	83	72	99
Dual-STGAT2025.11		92	92	73	86	63
MTC2025.11		90	82	70	70	70
STFF-MANet2025.11		89	80	67	68	67
MTMGN2025.11		89	89	73	66	89
ACIT2025.11		89	83	69	65	74
RAIDN2025.11		89	80	66	65	72
Faster-PCPNet2025.11		89	77	65	73	58
P-MFNet2025.11		89	79	66	70	63
PedCMT2026.04		88	77	65	—	—
ESIA2026.04		88	87	72	62	85
GTransPDM2025.11		87	78	64	64	—
II-GRU2025.11		87	81	65	60	71
PIT2026.04		87	87	66	54	85
Ours 32026.01		86	77	61	58	64
IntFormer2025.11		86	78	62	—	—
RU-LSTM2025.11		86	78	62	—	—
IntFormer2025.11		86	78	62	—	—
PedGraph+2026.04		86	88	65	58	75
C3D2026.01		85	76	60	57	63
TrouSPI-Net2025.11		85	73	56	57	55
LSOP-Net2025.11		85	75	58	56	61
TrouSPI-Net2026.04		85	73	56	57	55
PCPA2026.04		85	68	68	—	—
LSOP-Net2026.04		85	75	58	56	61
Ours 22026.01		84	81	51	52	50
MMH-PAP2025.11		84	80	62	54	—
MMH-PAP2025.11		84	80	62	54	—
Global PCPA2025.11		83	82	63	51	81
SAM2025.11		83	80	62	47	82
BiPed2025.11		83	79	60	52	—
Global PCPA2025.11		83	82	63	51	81
FFSTP2026.04		83	82	63	51	81
PedSA2026.04		83	80	62	47	82
V-PedCross2025.11		82	74	64	58	63
V-PedCross2025.11		82	74	64	58	63
Ours 12026.01		81	74	51	47	55
PPCIatt2025.11		81	78	75	—	—
PPCI_att2026.04		81	78	75	—	—
SingleRNN2025.11		78	77	54	42	75
Single-LSTM2026.04		78	75	54	44	70
PCPA2025.11		77	79	56	42	83
PCPA2025.11		77	79	56	42	83
PCPA2026.01		76	78	55	41	82
SF-GRU2025.11		76	77	53	40	79
CAPformer2026.01		73	78	53	38	85
Single-GRU2026.04		65	59	34	26	49
FUSSI2025.11		60	72	40	27	73
ConvLSTM2026.01		59	58	33	23	58