DCFNet: Deep Neural Network with Decomposed Convolutional Filters

ICML 2018 Qiang QiuXiuyuan ChengRobert CalderbankGuillermo Sapiro

Filters in a Convolutional Neural Network (CNN) contain model parameters learned from enormous amounts of data. In this paper, we suggest to decompose convolutional filters in CNN as a truncated expansion with pre-fixed bases, namely the Decomposed Convolutional Filters network (DCFNet), where the expansion coefficients remain learned from data... (read more)

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