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Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling
Deep neural network models for image segmentation can be a powerful tool for the automation of motor claims handling processes in the insurance industry.
ResBuilder: Automated Learning of Depth with Residual Structures
In this work, we develop a neural architecture search algorithm, termed Resbuilder, that develops ResNet architectures from scratch that achieve high accuracy at moderate computational cost.
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