Method for Uncertainty Estimation in Object Detection Models

A computer-implemented method for evaluating a prediction quality of a model usable for detecting objects is disclosed. The method includes inputting, into the model, a set of data samples. Each data sample includes a scene representation including an object. The method includes outputting, by the m...

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Bibliographische Detailangaben
1. Verfasser: Zhu, Weimeng
Format: Patent
Sprache:eng
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Zusammenfassung:A computer-implemented method for evaluating a prediction quality of a model usable for detecting objects is disclosed. The method includes inputting, into the model, a set of data samples. Each data sample includes a scene representation including an object. The method includes outputting, by the model, a set of predictions. The set of predictions include, for each data sample of the set of data samples, a predicted feature of the object in the scene representation and a predicted uncertainty associated with the predicted feature. The method includes estimating an uncertainty estimation quality of the model based on the set of predictions. The method includes determining, based on the uncertainty estimation quality, whether a further training of the model to improve the uncertainty estimation quality is required.