Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection-Reference-Cited by-同舟云学术

Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection

Author:

Zhang Haopeng¹,Lin Zijing¹,Gao Feng¹^ORCID,Dong Junyu¹^ORCID,Du Qian²^ORCID,Li Heng-Chao³^ORCID

Affiliation:

1. School of Computer Science and Technology, Ocean University of China, Qingdao, China

2. Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA

3. Sichuan Provincial Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China

Funder

National Key Research and Development Program of China

Natural Science Foundation of Qingdao

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

Reference21 articles.

2. An image is worth 16×16 words: Transformers for image recognition at scale;dosovitskiy;Proc Int Conf Learn Represent (ICLR),2021

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