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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.
Identifying Label Errors in Object Detection Datasets by Loss Inspection
In this work, we for the first time introduce a benchmark for label error detection methods on object detection datasets as well as a label error detection method and a number of baselines.
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