Krystian Chachuła

Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns

Deep neural networks (DNN) have outstanding performance in various applications. Despite numerous efforts of the research community, out-of-distribution (OOD) samples remain a significant limitation of DNN classifiers. The ability to identify previously unseen inputs as novel is crucial in safety-cr…