Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation
Lindamulage, Asiri, Kodagoda, Nuwan, Reyal, Shyam, Samarasinghe, Pradeepa, Yogarajah, Pratheepan
–arXiv.org Artificial Intelligence
Magnitude-based pruning is a technique used to optimise deep learning models for edge inference. We have achieved over 75% model size reduction with a higher accuracy than the original multi-output regression model for head-pose estimation.
arXiv.org Artificial Intelligence
Dec-28-2022
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- Asia > Sri Lanka (0.05)
- Europe > United Kingdom (0.04)
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- Research Report (1.00)
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