SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation. - Robin Chan; Krzysztof Lis; Svenja Uhlemeyer; Hermann Blum; Sina Honari; Roland Siegwart; Pascal Fua; Mathieu Salzmann; Matthias Rottmann (NeurIPS Datasets and Benchmarks, 2021)

Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects. - Kira Maag; Robin Chan; Svenja Uhlemeyer; Kamil Kowol; Hanno Gottschalk (ACCV (5), 2022)

Towards unsupervised open world semantic segmentation. - Svenja Uhlemeyer; Matthias Rottmann; Hanno Gottschalk (UAI, 2022)

Detecting and Learning the Unknown in Semantic Segmentation. - Robin Chan; Svenja Uhlemeyer; Matthias Rottmann; Hanno Gottschalk (CoRR, 2022)

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey. - Daniel Bogdoll; Svenja Uhlemeyer; Kamil Kowol; J. Marius Zöllner (IV, 2023)

Detecting Novelties with Empty Classes. - Svenja Uhlemeyer; Julian Lienen; Eyke Hüllermeier; Hanno Gottschalk (CoRR, 2023)

Unsupervised Open World Recognition in Computer Vision. - Svenja Uhlemeyer (2023)

Unsupervised Class Incremental Learning using Empty Classes. - Svenja Uhlemeyer; Julian Lienen; Youssef Shoeb; Eyke Hüllermeier; Hanno Gottschalk (BMVC Workshops, 2024)