ConAM: Confidence Attention Module for Convolutional Neural Networks

Yu Xue, Ziming Yuan, Ferrante Neri

The so-called "attention" is an efficient mechanism to improve the performance of convolutional neural networks. It uses contextual information to recalibrate the input to strength…