Results 21 to 30 of about 628,838 (267)
Advances in Multimedia, 2023 With the rapid development of the national power grid, there is an increasing and strict demand for accurate intelligent management. However, the current detection algorithms have limited abilities under adverse conditions, especially in regions like ...
R. Chang +8 more
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Image segmentation based on adaptive K-means algorithm
EURASIP Journal on Image and Video Processing, 2018 Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng +4 more
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Deep learning for terahertz image denoising in nondestructive historical document analysis
Scientific Reports, 2022 Historical documents contain essential information about the past, including places, people, or events. Many of these valuable cultural artifacts cannot be further examined due to aging or external influences, as they are too fragile to be opened or ...
Balaka Dutta +11 more
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Exploring Misclassification Information for Fine-Grained Image Classification
Sensors, 2021 Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
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Sparse self-attention aggregation networks for neural sequence slice interpolation
BioData Mining, 2021 Background Microscopic imaging is a crucial technology for visualizing neural and tissue structures. Large-area defects inevitably occur during the imaging process of electron microscope (EM) serial slices, which lead to reduced registration and semantic
Zejin Wang +4 more
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Scientific Reports, 2021 In many research areas, scientific progress is accelerated by multidisciplinary access to image data and their interdisciplinary annotation. However, keeping track of these annotations to ensure a high-quality multi-purpose data set is a challenging and ...
Christian Marzahl +9 more
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AUCReshaping: improved sensitivity at high-specificity
Scientific Reports, 2023 The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific ranges of ...
Sheethal Bhat +9 more
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Scientific Reports, 2021 Biometric identification techniques such as photo-identification require an array of unique natural markings to identify individuals. From 1975 to present, Bigg’s killer whales have been photo-identified along the west coast of North America, resulting ...
Christian Bergler +7 more
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SSN2V: unsupervised OCT denoising using speckle split
Scientific Reports, 2023 Denoising in optical coherence tomography (OCT) is important to compensate the low signal-to-noise ratio originating from laser speckle. In recent years learning algorithms have been established as the most powerful denoising approach.
Julia Schottenhamml +6 more
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TR-MISR: Multiimage Super-Resolution Based on Feature Fusion With Transformers
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Multiimage super-resolution (MISR), as one of the most promising directions in remote sensing, has become a needy technique in the satellite market.
Tai An +5 more
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