Structured Attention Network for Referring Image Segmentation-Reference-Cited by-同舟云学术

Structured Attention Network for Referring Image Segmentation

Author:

Lin Liang¹,Yan Pengxiang²,Xu Xiaoqian³,Yang Sibei⁴,Zeng Kun⁵,Li Guanbin⁶

Affiliation:

1. School of Data and Computer Science, Sun Yat-Sen University, 26469 Guangzhou, Guangdong, China, (e-mail: linliang@ieee.org)

2. School of Data and Computer Science, Sun Yat-Sen University, 26469 Guangzhou, Guangdong, China, 510006 (e-mail: yanpx@mail2.sysu.edu.cn)

3. School of Computer Science and Engineering, Sun Yat-Sen University, 26469 Guangzhou, Guangdong, China, (e-mail: xuxq7@mail2.sysu.edu.cn)

4. Department of Computing, The Hong Kong Polytechnic University, 26680 Kowloon, Hong Kong, (e-mail: sibeiyang@comp.polyu.edu.hk)

5. School of Software, Sun Yat-Sen University, 26469 Guangzhou, Guangdong, China, (e-mail: zengkun2@mail.sysu.edu.cn)

6. School of Data and Computer Science, Sun Yat-Sen University, 26469 Guangzhou, Guangdong, China, (e-mail: liguanbin@mail.sysu.edu.cn)

Funder

Natural Science Foundations of Guangdong

CCF-Tencent Open Research Fund

Guangdong Basic and Applied Basic Research Foundation

National High Level Talents Special Support Plan

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

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3. Referring Image Segmentation: An Attention-based Integrative Fusion Approach;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17