The paper compares an uncertainty neural network, a multi-model ensemble, and multi-transform averaging for uncertainty quantification in deep-learning PIV, finding the uncertainty network best on CAI but poorly generalizing to unseen flow images.
Applied optics 23:1690--1691
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On Uncertainty Prediction for Deep-Learning-based Particle Image Velocimetry
The paper compares an uncertainty neural network, a multi-model ensemble, and multi-transform averaging for uncertainty quantification in deep-learning PIV, finding the uncertainty network best on CAI but poorly generalizing to unseen flow images.