Convolutional neural network-based image super-resolution methods have achieved great success in recent years. However, the huge memory and computational costs make most of existing difficult to be applied resource-constrained scenarios such as edge devices. To tackle this problem, we propose a generic, lightweight efficient feature fusion block replace commonly used 1*1 convolution. In ...