Outlier exposure with confidence control for out-of-distribution detection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.02.007
Abstract: Deep neural networks have achieved great success in classification tasks during the last years. However, one major problem to the path towards artificial intelligence is the inability of neural networks to accurately detect samples from… read more here.
Keywords: outlier exposure; detection; exposure confidence; confidence control ... See more keywords
An Outlier Exposure Approach to Improve Visual Anomaly Detection Performance for Mobile Robots
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3192794
Abstract: We consider the problem of building visual anomaly detection systems for mobile robots. Standard anomaly detection models are trained using large datasets composed only of non-anomalous data. However, in robotics applications, it is often the… read more here.
Keywords: outlier exposure; mobile robots; visual anomaly; detection ... See more keywords