Survey of images semantic segmentation based on deep learning

Jinliang Ou, Hong Lin', Zhenping Qiang, Zhuqun Chen

Abstract: In recent years, inspired by deep learning, the performance of semantic segmentation has been greatly improved. According to the research status of semantic segmentation based on deep learning, this paper firstly combs the semantic segmentation method based on convolutional neural network and the new method based on Transformer respectively, and briefly introduces their core algorithms. Then, the performance of these methods on different datasets is compared and analyzed. Finally, the semantic segmentation methods and the future development trend are summarized.