This is the pytorch implementation for UDP++, which won the Fisrt place in COCO Keypoint Challenge at ECCV 2020 Workshop.

Results on MPII val dataset
Method— |
Head |
Sho. |
Elb. |
Wri. |
Hip |
Kne. |
Ank. |
Mean |
Mean 0.1 |
HRNet32 |
97.1 |
95.9 |
90.3 |
86.5 |
89.1 |
87.1 |
83.3 |
90.3 |
37.7 |
+Dark |
97.2 |
95.9 |
91.2 |
86.7 |
89.7 |
86.7 |
84.0 |
90.6 |
42.0 |
+UDP |
97.4 |
96.0 |
91.0 |
86.5 |
89.1 |
86.6 |
83.3 |
90.4 |
42.1 |
Results on COCO val2017 with detector having human AP of 65.1 on COCO val2017 dataset
Arch |
Input size |
#Params |
GFLOPs |
AP |
Ap .5 |
AP .75 |
AP (M) |
AP (L) |
AR |
pose_resnet_50 |
256×192 |
34.0M |
8.90 |
71.3 |
89.9 |
78.9 |
68.3 |
77.4 |
76.9 |
+UDP |
256×192 |
34.2M |
8.96 |
72.9 |
90.0 |
80.2 |
69.7 |
79.3 |
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