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cs.CV2022★ 1 cited
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection
Silvio Galesso, Max Argus, Thomas Brox
The key to out-of-distribution detection is density estimation of the in-distribution data or of its feature representations. This is particularly challenging for dense anomaly det…
cs.CV2022
Probing Contextual Diversity for Dense Out-of-Distribution Detection
Silvio Galesso, Maria Alejandra Bravo, Mehdi Naouar +1
Detection of out-of-distribution (OoD) samples in the context of image classification has recently become an area of interest and active study, along with the topic of uncertainty…