A self-guided anomaly detection-inspired few-shot segmentation network Suaiba Amina Salahuddin Stine Hansen Srishti Gautam Michael Kampffmeyer Robert Jenssen Publication details Journal: CEUR Workshop Proceedings, vol. 3271, 2022 International Standard Numbers: Printed: 1613-0073 Electronic: 1613-0073 Link: ARKIV: hdl.handle.net/10037/28499 Michael C Kampffmeyer Senior Research Scientist II Robert Jenssen Professor II You are here: Home Publications Scientific article A self-guided anomaly detection-inspired few-shot segmentation network