In order to improve the detection performance of infrared small object, a novel algorithm (i.e., AMDet) based on visual attention and multi-dilation feature is ...
A Block‐Based and Highly Parallel CNN ... AMDet: An Efficient Infrared Small Object Detection Model Based on Visual Attention and Multi-dilation Feature.
In this study, a new method is presented based on genetic algorithm to achieve adaptive SE for target detection in IR images. In this method, by designing the ...
This paper presents an efficient image denoising method by incorporating shearlet-based histogram thresholding, found to produce superior peak ...
Robust and efficient detection of an infrared (IR) small target is very important in the IR search and track system. Based on the contrast mechanism of the ...
A model of saliency-based visual attention for rapid scene analysis. ... An effective infrared small target detection method based on the human visual attention.
Mar 16, 2024 · In this paper, we propose a deep learning method, HCF-Net, that significantly improves infrared small object detection performance through ...
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LSM, An Efficient Infrared Small Target Detection Method Based on Visual Contrast Mechanism. ... A Spatial-Temporal Feature-Based Detection Framework for Infrared ...
Missing: AMDet: dilation
Detecting small objects in infrared images remains a challenge because most of them lack shape and texture. In this study, we proposed an infrared ...
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Jun 15, 2024 · Infrared Small Target Detection Network. Deep-learning-based object detection algorithms automatically extract features of objects, achieving ...
Missing: AMDet: | Show results with:AMDet: