Semantic correlation promoted shape-variant context for segmentation

• المؤلفون الرئيسيون: Ding, Henghui, Jiang, Xudong, Shuai, Bing, Liu, Ai Qun, Wang, Gang
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Segmentation; Computer Vision
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/140371

Context is essential for semantic segmentation. Due to the diverse shapes of objects and their complex layout in various scene images, the spatial scales and shapes of contexts for different objects have very large variation. It is thus ineffective or inefficient to aggregate various context informa...