Image-based OoD-Detector Principles on Graph-based Input Data in Human Action Recognition

3 Mar 2020Jens BayerDavid MünchMichael Arens

Living in a complex world like ours makes it unacceptable that a practical implementation of a machine learning system assumes a closed world. Therefore, it is necessary for such a learning-based system in a real world environment, to be aware of its own capabilities and limits and to be able to distinguish between confident and unconfident results of the inference, especially if the sample cannot be explained by the underlying distribution... (read more)

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