SimAM-based optimization algorithm for small target detection
JingYi Qu, Yunlong Li, Haohao Li, Shanliang Liu · 2023
With the development of deep learning, small target detection application scenarios are gradually becoming more widespread, and higher demands are made on small target detection accuracy. The attention mechanism is a simple and convenient way to improve target detection accuracy. In order to improve the detection performance of the attention mechanism for small targets, a SimAM-based attention method for small target detection is proposed by us, which changes the activation method of SimAM and add hyperparameters to improve the detection effect of small targets. The experimental results show that the algorithm has good detection performance.