Measuring Domain Shifts using Deep Learning Remote Photoplethysmography Model Similarity

Domain shift differences between training data for deep learning models and the deployment context can result in severe performance issues for models which fail to generalize. We study the domain shift problem under the context of remote photoplethysmography (rPPG), a technique for video-based heart...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Vance, Nathan, Flynn, Patrick
Format:	Artikel
Sprache:	eng
Schlagworte:	Context Deep learning Heart rate Similarity
Online-Zugang:	Volltext
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