Pose Estimation On Flic Wrists
Metrics
Results
Performance results of various models on this benchmark
Model Name | Paper Title | Repository | |
|---|---|---|---|
| Stacked Hourglass Networks | 97.0% | Stacked Hourglass Networks for Human Pose Estimation | |
| Convolutional Pose Machines | 95.03% | Convolutional Pose Machines |
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