"Deep Learning Model Compression for Resource Efficient Activity ..."

Dieter Balemans et al. (2024)

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DOI: 10.5220/0012423300003660

access: closed

type: Conference or Workshop Paper

metadata version: 2024-05-07

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Dieter Balemans, Benjamin Vandersmissen, Jan Steckel, Siegfried Mercelis, Philippe Reiter, José Oramas:
Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study. VISIGRAPP (4): VISAPP 2024: 575-584

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