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...

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Principais autores:	Danhe Tian, Shinichi Yamagiwa, Koichi Wada
格式:	Artigo
語言:	Inglês
出版:	IEEE 2024-01-01
叢編:	IEEE Access
主題:	Convolutional neural network model compression quantization structured pruning unstructured pruning
在線閱讀:	https://ieeexplore.ieee.org/document/10528266/
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