Research on Semantic Segmentation Algorithm Based on Deep Learning Control Tools

Deep learning has made breakthrough progress in semantic segmentation, and convolutional neural networks are widely used in semantic segmentation. This paper studies the semantic segmentation algorithm based on deep learning control tool, uses deep convolutional neural network to extract low-level features, and extracts high-level semantic features through multiscale context information. On this basis, the fusion of low-level detailed information and high-level semantic information is achieved through cascaded convolution and attention mechanisms. The algorithm is tested experimentally using the controlled article data set. The results show that the semantic segmentation algorithm based on deep learning control tools has good image segmentation effect and can meet the actual needs of semantic segmentation of controlled tool image.