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cs.LG2022
Detection of out-of-distribution samples using binary neuron activation patterns
Bartlomiej Olber, Krystian Radlak, Adam Popowicz +2
Deep neural networks (DNN) have outstanding performance in various applications. Despite numerous efforts of the research community, out-of-distribution (OOD) samples remain a sign…
cs.CV2022★ 1 cited
Combating noisy labels in object detection datasets
Krystian Chachuła, Jakub Łyskawa, Bartłomiej Olber +3
The quality of training datasets for deep neural networks is a key factor contributing to the accuracy of resulting models. This effect is amplified in difficult tasks such as obje…