Results 21 to 30 of about 10,627,489 (123)
Lightweight Infrared Small Target Detection Method Based on Linear Transformer
Remote SensingWith the flourish of deep learning, transformer models have achieved remarkable performance in dealing with many computer vision tasks. However, their applications in infrared small target detection is limited due to two factors: (1) the high ...
Bingshu Wang +5 more
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Infrared Tall Patch-Matrix Model for Single-Frame Low-Contrast Small Target Detection
Applied SciencesInfrared small target detection (IRSTD) task is vital in practical applications. It is still a challenge when the target size is very small and the local signal-to-noise ratio is particularly low.
Yujia Liu, Wei Tang, Xuying Hao, Tao Lei
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Multiscale Feature Extraction U-Net for Infrared Dim- and Small-Target Detection
Remote SensingThe technology of infrared dim- and small-target detection is irreplaceable in many fields, such as those of missile early warning systems and forest fire prevention, among others.
Xiaozhen Wang +6 more
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ISTDet: An efficient end-to-end neural network for infrared small target detection
, 2021 Infrared small target detection has made many breakthroughs in early warning, guidance and battlefield intelligence. However, infrared small target occupies less pixels and lacks color and texture features, which makes infrared small target detection a ...
Liu GQ(刘广琦) +3 more
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Millimetre wave imaging for concealed target detection [PDF]
, 2011 PhDConcealed weapon detection (CWD) has been a hot topic as the concern about pub- lic safety increases. A variety of approaches for the detection of concealed objects on the human body based on earth magnetic ¯eld distortion, inductive magnetic ¯eld,
Zhang, Lianhong
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Text-IRSTD: Leveraging Semantic Text to Promote Infrared Small Target Detection in Complex Scenes
2025 IEEE/CVF International Conference on Computer Vision (ICCV)Infrared small target detection is currently a hot and challenging task in computer vision. Existing methods usually focus on mining visual features of targets, which struggles to cope with complex and diverse detection scenarios. The main reason is that infrared small targets have limited image information on their own, thus relying only on visual ...
Feng Huang 0007 +5 more
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CoRRInfrared small target detection (IRSTD) aims to separate small targets from clutter backgrounds. Extensive research is dedicated to the pixel-level supervision-guided "encoder-decoder" segmentation paradigm. Although having achieved promising performance, they neglect the fact that small targets only occupy a few pixels and are usually accompanied with
Rixiang Ni +8 more
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IET Image Processing, Volume 18, Issue 12, Page 3650-3666, 16 October 2024.This study proposes a global information‐aware network with global interaction graph attention (GIGA) for infrared small target detection. This network enhances global similarity features of small targets by introducing graph attention and dimensional interaction dependencies.
Ruimin Yang +4 more
wiley +1 more source
IEEE Transactions on Geoscience and Remote SensingInfrared small target detection (IRSTD) faces the inherent challenge of precisely localizing dim targets amid complex background clutter. While progress has been made, existing methods usually follow conventional strategies to downsample features and discard small targets' details, resulting in suboptimal performance. In this paper, we present Na-IRSTD,
Qian Xu +5 more
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DB-DCNet: Dual-Branch Dense Collaborative Network for Infrared Small Target Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingInfrared small target detection (IRSTD) is crucial in aerospace and maritime rescue applications. Since imaging devices, such as satellites, are usually at a very long distance from the targets, the targets appear dim in the images.
Xiangdong Xu +3 more
doaj +1 more source