Jan 15, 2020 · To improve the overall performance of the model, we apply the teacher-student learning method based knowledge distillation to 3D human pose ...

We propose a method to efficiently train lightweight. 3D human pose estimation with teacher-student learn- ing (Figure 1). The proposed method shows an ac-.

To improve the overall performance of the model, we apply the teacher-student learning method based knowledge distillation to 3D human pose estimation. Real- ...

Mar 2, 2020 · To improve the overall performance of the model, we apply the teacher-student learning method based knowledge distillation to 3D human pose ...

Feb 26, 2020 · This paper presenting MoVNect which is a lightweight deep neural network(DNN) with teacher-student learning to capture 3D human pose in mobile ...

Jan 15, 2020 · MoVNect, a lightweight deep neural network to capture 3D human pose using a single RGB camera, is presented and the teacher-student learning ...

Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning ... We present MoVNect, a lightweight deep neural network to capture 3D human ...

To train lightweight 3D human pose estimation model efficiently, we adopt the basis of knowledge distillation: (1) First, we train a teacher model, which ...

Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning ... We present MoVNect, a lightweight deep neural network to capture 3D human ...

Jan 17, 2020 · Lightweight 3D Human Pose Estimation Network Training Using Teacher-Student Learning. http://arxiv.org/abs/2001.05097.