Semantic correlation promoted shape-variant context for segmentation

Semantic correlation promoted shape-variant context for segmentation

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...

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書目詳細資料
Main Authors:	Ding, Henghui, Jiang, Xudong, Shuai, Bing, Liu, Ai Qun, Wang, Gang
其他作者:	School of Electrical and Electronic Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2020
主題:	Engineering::Computer science and engineering Segmentation Computer Vision
在線閱讀:	https://hdl.handle.net/10356/140371
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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