在深度学习和计算机视觉领域，语义分割是指将图像分割成多个部分，并识别每个部分所代表的具体对象或类别的过程。
semantic segmentation is the task of assigning’ a class to every pixel in the input image. Applications of it include autonomous driving, natural scene understanding, androbotics. It is also the groundwork for the bottom-up approach [^6] of panoptic segmentation, which, in addition toassigning a class to every pixel, separates instances of thesame class. 语义分割是为输入图像中的每个像素分配一个类的任务。它的应用包括自动驾驶、自然场景理解、机器人。这也是全景分割自下而上方法[^6]的基础，该方法除了为每个像素分配一个类外，还分离同一类的实例。
[^6]Bowen Cheng, Maxwell D Collins, Yukun Zhu, Ting Liu,Thomas S Huang, Hartwig Adam, and Liang-Chieh Chen.Panoptic-deeplab: A simple, strong, and fast baseline forbottom-up panoptic segmentation. In CVPR, 2020