SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks

2 code implementations • Proceedings of Machine Learning Research 2022 • Lingxiao Yang, Ru-Yuan Zhang, Lida Li, Xiaohua Xie

Another advantage of the module is that most of the operators are selected based on the solution to the defined energy function, avoiding too many efforts for structure tuning.