Block-Wise Separable Convolutions: An Alternative Way to Factorize Standard Convolutions

In this paper, we introduce block-wise separable convolutions (BlkSConv) to replace the standard convolutions for compressing deep CNN models. First, BlkSConv expresses the standard convolutional kernel as an ordered set of block vectors each of which is a linear combination of fixed basis block vec...

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Xehetasun bibliografikoak
Egile Nagusiak: Yan-Jen Huang, Hsin-Lung Wu, Ching-Chen
Formatua: Artikulua
Hizkuntza:English
Argitaratua: IEEE 2024-01-01
Saila:IEEE Access
Gaiak:
Sarrera elektronikoa:https://ieeexplore.ieee.org/document/10414068/