CA-U2-Net: Contour Detection and Attention in U2-Net for Infrared Dim and Small Target Detection-Reference-Cited by-同舟云学术

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CA-U2-Net: Contour Detection and Attention in U2-Net for Infrared Dim and Small Target Detection

Published:2023 Issue: Volume:11 Page:88245-88257
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Leihong¹,Lin Weihong²^ORCID,Shen Zimin²,Zhang Dawei¹,Xu Banglian¹,Wang Kaimin¹,Chen Jian³^ORCID

Affiliation:

1. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China

2. College of Communication and Art Design, University of Shanghai for Science and Technology, Shanghai, China

3. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, China

Funder

National Natural Science Foundation of China

Development Fund for Shanghai Talents

Shanghai Industrial Collaborative Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10223216.pdf?arnumber=10223216

Reference49 articles.

1. Infrared Patch-Image Model for Small Target Detection in a Single Image

2. Small Infrared Target Detection Based on Weighted Local Difference Measure

3. Reweighted Infrared Patch-Tensor Model With Both Nonlocal and Local Priors for Single-Frame Small Target Detection

4. Infrared small target and background separation via column-wise weighted robust principal component analysis

5. A robust infrared small target detection algorithm based on human visual system;han;IEEE Geosci Remote Sens Lett,2014

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Infrared Dim Small Target Detection Networks: A Review;Sensors;2024-06-15

2. A Strategy for Training Dim and Small Infrared Targets Detection Networks Under Sequential Cloud Background Images;IEEE Access;2024

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