Human Pose Estimation on LSP person-centric (test)
98.5Head AccuracyCPF + PGNN
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| CPF + PGNNBackbone=ResNet-502019.01 | 98.5 | 94 | 89.9 | 86.9 | 92.3 | 93.5 | 92.7 | 92.5 | |
| CPF + PGNNBackbone=Stacked Hourglass2019.01 | 98.4 | 94.8 | 92 | 89.4 | 94.4 | 94.8 | 93.8 | 94 | |
| Yang et al.2019.01 | 98.3 | 94.5 | 92.2 | 88.9 | 94.4 | 95 | 93.7 | 93.9 | |
| Wei et al.2019.01 | 97.8 | 92.5 | 87 | 83.9 | 91.5 | 90.8 | 89.9 | 90.5 | |
| Insafutdinov et al.2019.01 | 97.4 | 92.7 | 87.5 | 84.4 | 91.5 | 89.9 | 87.2 | 90.1 | |
| Bulat & Tzimiropoulos2019.01 | 97.2 | 92.1 | 88.1 | 85.2 | 92.2 | 91.4 | 88.7 | 90.7 | |
| Pishchulin et al.2019.01 | 97 | 91 | 83.8 | 78.1 | 91 | 86.7 | 82 | 87.1 | |
| Lifshitz et al.2019.01 | 96.8 | 89 | 82.7 | 79.1 | 90.9 | 86 | 82.5 | 86.7 | |
| Belagiannis & Zisserman2019.01 | 95.2 | 89 | 81.5 | 77 | 83.7 | 87 | 82.8 | 85.2 |