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