Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-Constrained Edge Computing Systems

As the complexity of Deep Neural Network (DNN) models increases, their deployment on mobile devices becomes increasingly challenging, especially in complex vision tasks such as image classification. Many of recent contributions aim either to produce compact models matching the limited computing capa...

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Autori principali:	Yoshitomo Matsubara, Davide Callegaro, Sabur Baidya, Marco Levorato, Sameer Singh
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2020-01-01
Serie:	IEEE Access
Soggetti:	Deep neural networks edge computing head network distillation knowledge distillation
Accesso online:	https://ieeexplore.ieee.org/document/9265295/
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