关键词: 智能系统, 图像语义分割, 深度学习, 视觉智能

Abstract: Image semantic segmentation technology is one of the key technologies for intelligent systems to understand natural scenes. As an important research direction in the field of visual intelligence, this technology has broad application prospects in the fields of mobile robots, drones, intelligent driving and smart security. This paper gives a detailed review on the research and development of image semantic segmentation technology, including the traditional semantic segmentation method and the current mainstream image semantic segmentation theory based on deep learning, and the method of image semantic segmentation based on deep learning. It describes the framework and its implementation process, analyzes the effects, advantages and disadvantages of the typical representative algorithms, and then summarizes the algorithm evaluation indicators. Finally, the development of the technology is summarized and forecasted. The paper has a good reference for researchers and engineers who are engaged in image semantic segmentation technology.

Key words: intelligent system, image semantic segmentation, deep learning, visual intelligence