Out-of-Distribution Detection for Deep Neural Networks With Isolation Forest and Local Outlier Factor
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DOI: 10.1109/access.2021.3108451
Abstract: Deep Neural Networks (DNNs) are extensively deployed in today’s safety-critical autonomous systems thanks to their excellent performance. However, they are known to make mistakes unpredictably, e.g., a DNN may misclassify an object if it is… read more here.
Keywords: detection; deep neural; neural networks; isolation forest ... See more keywords