Residual Feature-Reutilization Inception Network

Yuanpeng He, Wenjie Song, Lijian Li, Tianxiang Zhan, Wenpin Jiao

Abstract: Highlights•A novel multi-scale convolutional neural network architecture residual feature-reutilization inception and split-residual feature-reutilization inception are proposed to fully utilize features from different scales and enlarge the receptive fields.•Split-residual feature-reutilization inception reduces parameter amount and Flops with acceptable accuracy loss by dividing features into multiple groups with ratios referring to the setting of channel number of residual feature-reutilization inception.