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Found 3 papers, 2 papers with code
Activating Frequency and ViT for 3D Point Cloud Quality Assessment without Reference
Deep learning-based quality assessments have significantly enhanced perceptual multimedia quality assessment, however it is still in the early stages for 3D visual data such as 3D point clouds (PCs).
Bag of Recurrence Patterns Representation for Time-Series Classification
Time-Series Classification (TSC) has attracted a lot of attention in pattern recognition, because wide range of applications from different domains such as finance and health informatics deal with time-series signals.
Classification of Time-Series Images Using Deep Convolutional Neural Networks
While the majority of Time-Series Classification (TSC) literature is focused on 1D signals, this paper uses Recurrence Plots (RP) to transform time-series into 2D texture images and then take advantage of the deep CNN classifier.
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