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Siamese Multi-Scale Adaptive Search Network for Remote Sensing Single-Object Tracking
Remote Sensing, 2023 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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Frontiers in Bioengineering and Biotechnology, 2022 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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International Journal of Food Science, 2022 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
Remote Sensing, 2021 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
Complex & Intelligent Systems, 2022 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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Spormetre Beden Eğitimi ve Spor Bilimleri Dergisi, 2014 Bu araştırma Beden Eğitimi ve Spor Yüksekokulu öğrencilerinin sosyal karşılaştırma düzeylerinin çeşitli değişkenler açısından incelenmesini amaçlayan tarama modelli bir çalışmadır. Çalışmaya Beden Eğitimi ve Spor Yüksekokulu`nun 3 farklı bölümünde (Beden
Mehmet Bilbek, Cem Yoksuler Yılmaz
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Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 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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Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification
Remote Sensing, 2020 Recently, deep learning has been highly successful in image classification. Labeling the PolSAR data, however, is time-consuming and laborious and in response semi-supervised deep learning has been increasingly investigated in PolSAR image classification.
Yuwei Guo +5 more
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SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 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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