结合跨尺度特征融合与瓶颈注意力模块的轻量型红外小目标检测网络

TP753; 提出一种结合跨尺度特征融合与瓶颈注意力模块的轻量型单帧红外小目标检测网络.该网络在不引入额外神经元的前提下,直接在编码层和解码层之间进行高频多尺度特征交互,从而维持小目标在网络深层的响应幅值,实现小目标浅层空间结构特征与深层高级语义特征之间的交互融合.同时,该网络在编码器瓶颈处级联轻量型混合注意力模块,进一步增强目标特征在网络深层的响应幅值.实验结果表明,该网络能有效抑制复杂背景杂波,并以较低参数量实现红外小目标检测....

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Published in红外与毫米波学报 Vol. 41; no. 6; pp. 1102 - 1112
Main Authors 林再平, 李博扬, 李淼, 王龙光, 吴天昊, 罗伊杭, 肖超, 李若敬, 安玮
Format Journal Article
LanguageChinese
Published 国防科技大学电子科学学院,湖南长沙410073 01.12.2022
Subjects
跨尺度融合
红外小目标检测
瓶颈注意力模块
轻量型算法
Online AccessGet full text
ISSN1001-9014
DOI10.11972/j.issn.1001-9014.2022.06.020

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Abstract TP753; 提出一种结合跨尺度特征融合与瓶颈注意力模块的轻量型单帧红外小目标检测网络.该网络在不引入额外神经元的前提下,直接在编码层和解码层之间进行高频多尺度特征交互,从而维持小目标在网络深层的响应幅值,实现小目标浅层空间结构特征与深层高级语义特征之间的交互融合.同时,该网络在编码器瓶颈处级联轻量型混合注意力模块,进一步增强目标特征在网络深层的响应幅值.实验结果表明,该网络能有效抑制复杂背景杂波,并以较低参数量实现红外小目标检测.
AbstractList TP753; 提出一种结合跨尺度特征融合与瓶颈注意力模块的轻量型单帧红外小目标检测网络.该网络在不引入额外神经元的前提下,直接在编码层和解码层之间进行高频多尺度特征交互,从而维持小目标在网络深层的响应幅值,实现小目标浅层空间结构特征与深层高级语义特征之间的交互融合.同时,该网络在编码器瓶颈处级联轻量型混合注意力模块,进一步增强目标特征在网络深层的响应幅值.实验结果表明,该网络能有效抑制复杂背景杂波,并以较低参数量实现红外小目标检测.
Author 李若敬
林再平
李淼
吴天昊
罗伊杭
李博扬
王龙光
安玮
肖超
AuthorAffiliation 国防科技大学电子科学学院,湖南长沙410073
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Author_FL An Wei
WANG Long-Guang
XIAO Chao
LI Ruo-Jing
LIN Zai-Ping
LUO Yi-Hang
LI Bo-Yang
WU Tian-Hao
LI Miao
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红外小目标检测
瓶颈注意力模块
轻量型算法
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Title 结合跨尺度特征融合与瓶颈注意力模块的轻量型红外小目标检测网络
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