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Found 3 papers, 2 papers with code
"Zero-Shot" Point Cloud Upsampling
Recent supervised point cloud upsampling methods are restricted by the size of training data and are limited in terms of covering all object shapes.
Process Knowledge Driven Change Point Detection for Automated Calibration of Discrete Event Simulation Models Using Machine Learning
The accuracy of the predictive models measures the likelihood that the actual process data conforms to the simulated change points in system characteristics.
Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images
Deep Neural Networks (DNN) have been widely used to carry out segmentation tasks in both electron and light microscopy.
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