Referring image segmentation with attention guided cross modal fusion for semantic oriented languages  

作　　者：Qianli ZHOU Rong WANG Haimiao HU Quange TAN Wenjin ZHANG 

机构地区：[1]Police Information Engineering and Network Security College,People's Public Security University,Beijing 100038,China [2]Computer Science and Engineering,Beihang University,Beijing 100191,China

出　　处：《Frontiers of Computer Science》2022年第6期187-189,共3页中国计算机科学前沿（英文版）

基　　金：supported in part by National Natural Science Foundation of China (Grant No.62076246).

摘　　要：1 Introduction Referring image segmentation aims to identify and segment the instance by language description.It is a challenge task due to the combination of both language and visual domains[1].The current mainstream methods mainly focus on English,and can achieve an appropriated performance.However,it cannot achieve the similar performance while they are directly applied to semantic-oriented languages like Chinese due to the different language characteristics.

关 键 词：SEMANTIC image MODAL 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]