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Heuristic Compression Method for CNN Model Applying Quantization to a Combination of Structured and Unstructured Pruning Techniques

Model Compression is an actively pursued research field in recent years with the goal of deploying state-of-the-art deep neural networks. It is targeted to implementations which are based on power constrained and resource limited devices as the reduced model achieves without significant accuracy los...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Danhe Tian, Shinichi Yamagiwa, Koichi Wada
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Access
Schlagworte:
Online-Zugang:https://ieeexplore.ieee.org/document/10528266/
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