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Using Predictive Uncertainty for Cleaning Noisy Annotations
An OpenStreetMap-Based Dataset of Building Footprints for Analysing Different Types of Label Noise
Impact of Training Set Size on the Ability of Deep Neural Networks to Deal with Omission Noise