2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDMLR-APPL-MDSP.3
Paper Title ADAPTIVE FREQUENCY HOPPING POLICY FOR FAST POSE ESTIMATION
Authors Yuchen Liang, Yuehu Liu, Xi'an Jiaotong University, China
SessionMLR-APPL-MDSP: Machine learning for multidimensional signal processing
LocationArea F
Session Time:Monday, 20 September, 13:30 - 15:00
Presentation Time:Monday, 20 September, 13:30 - 15:00
Presentation Poster
Topic Applications of Machine Learning: Machine learning for multidimensional signal processing
IEEE Xplore Open Preview  Click here to view in IEEE Xplore
Abstract Existing methods for human pose estimation using motion imitation usually suffer from a mismatch of the frequency between policy and demonstrations: the policy runs at a much higher frequency to enable the agent to get track with the demonstrations, which usually leads to unbearablely long traing time. In this work, we propose an adaptive frequency hopping policy which adaptively ajusts the frequency of policy to accelerate the training process. At the meantime, we design a control policy with muti early termination conditions to bias desired distributions for convergence. Experimental results demonstrate that our method achieves equivalent quantitative quality with a reduction of 50% of training time in comparison to the baselines.