Pedestrian Attribute Recognition on RAP v1 benchmark leaderboard · SOTA2 Research

Pedestrian Attribute Recognition on RAP v1

72.23AccuracyJGEL

Evaluation Results

Method	Links
JGEL2026.04		72.23	86.09	—	90.64	81.32
KGPAR2026.04		71.75	85.05	79.95	85.98	82.5
PromptPAR2026.04		71.61	85.45	79.64	86.05	82.38
SequencePAR2026.04		71.47	—	82.4	82.09	82.05
UAPAR2026.04		70.81	87.48	78.09	87.05	81.91
HDFL2026.04		70.49	83.68	80.25	83.55	81.51
SSPNet2026.04		70.41	83.24	—	82.49	81.9
FOCUS2026.04		70.14	83.45	80.1	85.18	82.41
SOFA2026.04		70	83.4	80	83	81.5
ViT-RE2026.04		69.45	—	81.18	80.8	80.99
VTB2026.04		69.44	82.67	78.28	84.39	80.84
EALC2026.04		69.3	82.69	—	82.77	81.17
AttExpIB-Net2026.04		68.81	82.46	—	81.63	80.25
IAA2026.04		68.47	81.72	79.56	82.06	80.37
DAFL2026.04		68.18	83.72	77.41	83.39	80.29