Dense Nested Attention Network for Infrared Small Target Detection

Single-frame infrared small target (SIRST) detection aims at separating small targets from clutter backgrounds. With the advances of deep learning, CNN-based methods have yielded promising results in generic object detection due to their powerful modeling capability. However, existing CNN-based meth...

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Vydané v:	IEEE transactions on image processing Ročník 32; s. 1745 - 1758
Hlavní autori:	Li, Boyang, Xiao, Chao, Wang, Longguang, Wang, Yingqian, Lin, Zaiping, Li, Miao, An, Wei, Guo, Yulan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Annotations channel and spatial attention Clutter dataset Datasets Decoding deep learning dense nested interactive module False alarms Feature extraction Infrared small target detection Modules Object detection Object recognition Performance evaluation Shape Target detection Training
ISSN:	1057-7149, 1941-0042, 1941-0042
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