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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