3 papers
cs.CV2023
OpenPatch: a 3D patchwork for Out-Of-Distribution detection
Paolo Rabino, Antonio Alliegro, Francesco Cappio Borlino +1
Moving deep learning models from the laboratory setting to the open world entails preparing them to handle unforeseen conditions. In several applications the occurrence of novel cl…
cs.CV2023
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection
Lorenzo Li Lu, Giulia D'Ascenzi, Francesco Cappio Borlino +1
Standard recognition approaches are unable to deal with novel categories at test time. Their overconfidence on the known classes makes the predictions unreliable for safety-critica…
cs.CV2022
Semantic Novelty Detection via Relational Reasoning
Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi
Semantic novelty detection aims at discovering unknown categories in the test data. This task is particularly relevant in safety-critical applications, such as autonomous driving o…