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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Veröffentlicht in:	IEEE transactions on image processing Jg. 32; S. 1745 - 1758
Hauptverfasser:	Li, Boyang, Xiao, Chao, Wang, Longguang, Wang, Yingqian, Lin, Zaiping, Li, Miao, An, Wei, Guo, Yulan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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