Results 1 to 10 of about 5,071,895 (335)
Siamese Multi-Scale Adaptive Search Network for Remote Sensing Single-Object Tracking
With the development of remote sensing earth observation technology, object tracking has gained attention for its broad application prospects in computer vision.
Biao Hou+5 more
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Breath acetone (BrAce) level is an indicator of lipid oxidation rate, which is crucial for evaluating the status of ketoacidosis, ketogenic diet, and fat burning during exercise.
Hao Dong+10 more
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Pulse flours are growing in popularity as alternatives to wheat in bakery products due to their high protein and nutritional value. However, the effect of different pulse species and substitution on sensory perception is unclear.
Danai Ioanna Koukoumaki+8 more
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A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images
Object detection in remote sensing images has been widely used in military and civilian fields and is a challenging task due to the complex background, large-scale variation, and dense arrangement in arbitrary orientations of objects.
Yangyang Li+5 more
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A special point-based transfer component analysis for dynamic multi-objective optimization
To solve dynamic multi-objective optimization problems better, the key is to adapt quickly to environmental changes and track the possible changing optimal solutions in time. In this paper, we propose a special point-based transfer component analysis for
Ruochen Liu+3 more
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Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery
In recent years, despite the tremendous progresses of object detection, small object detection has always been a challenge in the field of remote sensing. The main reason is that small objects cover few features that are easily lost during down-sampling.
Yangyang Li+5 more
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There are conflicting results regarding the effect of aging on second-order motion processing (i.e., motion defined by attributes other than luminance, such as contrast).
Rémy eAllard+2 more
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Object detection has made significant progress in many real-world scenes. Despite this remarkable progress, the common use case of detection in remote sensing images remains challenging even for leading object detectors, due to the complex background ...
Yangyang Li+4 more
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A Multi-Level Attention Model for Remote Sensing Image Captions
The task of image captioning involves the generation of a sentence that can describe an image appropriately, which is the intersection of computer vision and natural language.
Yangyang Li+4 more
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SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection
Convolutional neural networks (CNNs) are data-driven methods that automatically extract the rich information embedded in remote sensing images. However, most current deep learning-based remote sensing image change detection methods prioritize high-level ...
Jiahao Wang+7 more
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