Pedestrian Attribute Recognition on RAP benchmark leaderboard · SOTA2 Research

Pedestrian Attribute Recognition on RAP

81.87mAALM

Evaluation Results

Method	Links
ALM2019.10		81.87	68.17	74.71	86.48	80.16
ALM2020.05		81.87	68.17	74.71	86.48	80.16
GRL2019.10		81.2	—	77.7	80.9	79.29
LG-Net2019.10		78.68	68	80.36	79.82	80.09
LGNet2020.05		78.68	68	80.36	79.82	80.09
Baseline2020.05		78.48	67.17	82.84	76.25	78.94
JRL2019.10		77.81	—	78.11	78.98	78.58
VeSPA2019.10		77.7	67.35	79.51	79.67	79.59
FocalLoss2020.05		77.32	65.91	80.74	75.13	76.47
HP-net2017.09		76.12	65.39	77.33	78.79	78.05
HP-Net2019.10		76.12	65.39	77.33	78.79	78.05
HPNet2020.05		76.12	65.39	77.33	78.79	78.05
BN-Inception2019.10		75.76	65.57	78.92	77.49	78.2
JRL2019.10		74.74	—	75.08	74.96	74.62
JRL2020.05		74.74	—	75.08	74.96	74.62
M-net2017.09		74.44	64.99	77.83	77.89	77.86
PGDM2019.10		74.31	64.57	78.86	75.9	77.35
PGDM2020.05		74.31	64.57	78.86	75.9	77.35
DeepMar2017.09		73.79	62.02	74.92	76.21	75.56
DeepMar2019.10		73.79	62.02	74.92	76.21	75.56
DeepMAR2020.05		73.79	62.02	74.92	76.21	75.56
FC6-mm2017.09		73.32	33.37	37.57	73.23	49.66
FC7-mm2017.09		72.28	31.72	35.75	71.78	47.73
ELF-mm2017.09		69.94	29.29	32.84	71.18	44.95
ACN2017.09		69.66	62.61	80.12	72.26	75.98
ACN2019.10		69.66	62.61	80.12	72.26	75.98