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Multiscale image denoising algorithm based on UNet3+
To fully exploit the multiscale information for image denoising, we introduce the idea of full-scale skip connections in the image segmentation...
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Machine Learning for Multiscale Video Coding
AbstractThe research concerns the use of machine learning algorithms for multiscale coding of digital video sequences. Based on machine learning, the...
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Multiscale laplacian learning
Machine learning has greatly influenced a variety of fields, including science. However, despite tremendous accomplishments of machine learning, one...
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Efficient detection of multiscale defects on metal surfaces with improved YOLOv5
In the process of metal production and manufacturing, the surface of the metal will produce defects of different scales, which will seriously affect...
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OmiQnet: Multiscale feature aggregation convolutional neural network for omnidirectional image assessment
Recently, deep learning-based methods for quality assessment of omnidirectional images (OIs) have gained widespread attention. However, existing...
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Multiscale convolutional neural-based transformer network for time series prediction
Time series prediction is tough resulting from the lack of multiple time-scale dependencies and the correlation among input concomitant variables. A...
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Novel multiscale E-metric cross-sample entropy-based cardiac arrhythmia detection and its performance investigation in reference to multiscale cross-sample entropy-based analysis
Cardiac arrhythmia is a common difficulty of human cardiovascular system and can be evaluated using cardiac rate variability. Multiscale Cross Sample...
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AMSFANet: attention-based multiscale small face aware restoration method
Deep learning has achieved remarkable performance in various fields, including face recognition. However, recognizing small-sized face images remains...
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A Vision Enhancement and Feature Fusion Multiscale Detection Network
In the field of object detection, there is often a high level of occlusion in real scenes, which can very easily interfere with the accuracy of the...
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Geometric algebra-based multiscale encoder-decoder networks for 3D motion prediction
3D human motion prediction is one of the essential and challenging problems in computer vision, which has attracted extensive research attention in...
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Concurrent multiscale topology optimization of hollow structures considering geometrical nonlinearity
Lattice materials and hollow structures possess excellent mechanical properties, which are beneficial to satisfy the lightweight demands of the...
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MSGCN: a multiscale spatio graph convolution network for 3D point clouds
We propose a multiscale spatio graph neural network (MSGCN) for 3D point cloud. The core of MSGCN is a multiscale spatio graph(MSG) that explicitly...
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Multiscale observation in wide-spatial radar surveillance based on coherent FDA design
Wide-spatial radar surveillance missions are challenging tasks, requiring an increased power budget and agility in transmission aimed at extracting...
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Multiscale modeling of functionally graded shell lattice metamaterials for additive manufacturing
In this work, an experimentally validated multiscale modeling framework for additively manufactured shell lattice structures with graded parameters...
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Multiscale Transfer Learning Based Fault Diagnosis of Rolling Bearings
This paper aims to address two challenges for fault diagnosis of rolling bearings: full feature representation and feature alignment across working...
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Multiscale dilated convolution and swin-transformer for small sample gearbox fault diagnosis
Mechanical equipment usually operates in noisy and variable load environments, which presents serious challenges for existing intelligent diagnostic...
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An optical flow estimation method based on multiscale anisotropic convolution
To solve the tracking accuracy degradation problem in scenarios with large displacements or nonrigid motion during target tracking, this paper...
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Spatial-temporal multiscale feature optimization based two-stream convolutional neural network for action recognition
Human action recognition is one of the most challenging tasks in computer vision due to background noise interference and video frame redundancy....
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Multiscale fire image detection method based on CNN and Transformer
Fire is one of the most harmful hazards that affect daily life. The existing fire detection methods have the problems of large computation, slow...
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Multiscale feature aggregation network for aspect sentiment triplet extraction
Aspect sentiment triplet extraction (ASTE) aims to extract all aspect terms with their corresponding opinion terms and sentiment polarity...
