Efficient Low-Resolution Human Pose Estimation with Knowledge Bridge
Ze Li, Feng Zhang, Lei Chen · 2023
In the field of human pose estimation, the problem of knowledge transfer among models with different learning objectives and input resolutions remains unresolved. In this paper, we propose a novel framework specifically designed for low-resolution human pose estimation, aiming to obtain an efficient and powerful model for this task. Specifically, we introduce an intermediate model as a knowledge bridge between the teacher model and the student model. We perform knowledge transfer from the teacher model with different learning objectives and resolutions to the student model through cross-learning-objective pose distillation between the teacher model and the bridge model, as well as cross-resolution pose distillation between the bridge model and the student model. Experimental results on the COCO dataset demonstrate the effectiveness of our model in low-resolution human pose estimation tasks.