Driving Behavior Classification on Waymo Open Dataset (test) benchmark leaderboard · SOTA2 Research

Driving Behavior Classification on Waymo Open Dataset (test)

94.3AccuracyLLM-MLFFN

Evaluation Results

Method	Links
LLM-MLFFN2026.03		94.3	94.64	94.3	94.14
GAF-ViT2026.03		92.19	88	89	88.5
GAF-ViT2026.03		92.09	86.79	88.26	87.47
LLM-MLFFN2026.03		91.45	91.58	91.45	91.35
mWDN2026.03		90.05	85.95	82.24	83.85
LSTM-FCN2026.03		89.09	89.81	89.09	89.34
LSTM2026.03		88.88	89.25	88.88	88.95
GRU-FCN2026.03		88.77	89.55	88.77	88.93
MLP2026.03		88.24	88.29	88.24	88.12
mWDN2026.03		86.84	88.01	86.84	87.03
MLP2026.03		83.21	85.84	67.21	73.94
MLSTM-FCN2026.03		82.99	84.09	82.99	81.4
MLSTM-FCN2026.03		81.82	80.03	68.43	73.11
FCN2026.03		80.75	79.15	65.4	70.4
LSTM-FCN2026.03		80.32	80.8	63.34	69.4
TST2026.03		77.01	76.22	77.01	73.47
FCN2026.03		75.19	76.15	75.19	69.43
TST2026.03		75.08	78.96	49.85	55.86
LSTM2026.03		71.66	62.27	48.36	49.55
GRU-FCN2026.03		69.09	55.36	45.54	47.82