Stacked Hourglass Network
2000년 도입 · 논문 28편에서 사용
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.
출처: Stacked Hourglass Networks for Human Pose Estimation
소개 논문: Stacked Hourglass Networks for Human Pose Estimation
Pose Estimation Models · Computer Vision