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cs.LG2026
Bounding Box Anomaly Scoring for simple and efficient Out-of-Distribution detection
Mohamed Bahi Yahiaoui, Geoffrey Daniel, Loïc Giraldi +2
Out-of-distribution (OOD) detection aims to identify inputs that differ from the training distribution in order to reduce unreliable predictions by deep neural networks. Among post…
cs.LG2020★ 1 cited
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation
Etienne Goffinet, Anthony Coutant, Mustapha Lebbah +2
Autonomous driving systems validation remains one of the biggest challenges car manufacturers must tackle in order to provide safe driverless cars. The high complexity stems from s…