Pose Estimation On Flic Elbows
Metrics
Results
Performance results of various models on this benchmark
Model Name | Paper Title | Repository | |
|---|---|---|---|
| Convolutional Pose Machines | 97.59% | Convolutional Pose Machines | |
| Stacked Hourglass Networks | 99.0% | Stacked Hourglass Networks for Human Pose Estimation |
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