Infrared Small and Dim Target Detection With Transformer Under Complex Backgrounds-Reference-Cited by-同舟云学术

Infrared Small and Dim Target Detection With Transformer Under Complex Backgrounds

Author:

Liu Fangcen¹^ORCID,Gao Chenqiang¹^ORCID,Chen Fang²^ORCID,Meng Deyu³^ORCID,Zuo Wangmeng⁴^ORCID,Gao Xinbo¹^ORCID

Affiliation:

1. School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

2. School of Electrical Engineering and the Computer Science Department, University of California at Merced, Merced, CA, USA

3. School of Mathematics and Statistics, Xi’an Jiaotong University, Shaanxi, Xi’an, China

4. School of Computer Science and Technology, Harbin Institute of Technology, Heilongjiang, Harbin, China

Funder

National Natural Science Foundation of China

Science and Technology Research Program of Chongqing Municipal Education Commission

Chongqing Graduate Research Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference63 articles.

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2. TransUNet: Transformers make strong encoders for medical image segmentation;chen;arXiv 2102 04306,2021

4. End-to-end object detection with transformers;carion;Proc Eur Conf Comput Vis (ECCV),2020

5. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015

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