An efficient sparse pruning method for human pose estimation
Human pose estimation (HPE) is crucial for computer vision (CV). Moreover, it’s a vital step for computers to understand human actions and behaviours. However, the huge number of parameters and calculations in the HPE model have brought big challenges to deploy to resource-constrained mobile devices...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
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Series: | Connection Science |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/09540091.2021.2012423 |