Stacked Hourglass Networks are a type of convolutional neural network for pose estimation. They are based on the successive steps of pooling and upsampling that are done to produce a final set of predictions.
Source: Stacked Hourglass Networks for Human Pose EstimationPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Object Detection | 9 | 16.67% |
Pose Estimation | 8 | 14.81% |
Semantic Segmentation | 2 | 3.70% |
Decoder | 2 | 3.70% |
Multi-Task Learning | 2 | 3.70% |
Multi-Person Pose Estimation | 2 | 3.70% |
Stereo Matching | 2 | 3.70% |
Stereo Matching Hand | 2 | 3.70% |
Table Detection | 1 | 1.85% |