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Variable Few Shot Class Incremental and Open World Learning., , , , , , and . CVPR Workshops, page 3687-3698. IEEE, (2022)Watchlist Adaptation: Protecting the Innocent., , and . BIOSIG, volume P-306 of LNI, page 21-32. Gesellschaft für Informatik e.V., (2020)Unconstrained Face Detection and Open-Set Face Recognition Challenge., , , , , , , , , and 5 other author(s). IJCB, page 697-706. IEEE, (2017)A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion., , , , , , , , , and 4 other author(s). CoRR, (2020)Self-Supervised Features Improve Open-World Learning., , , , , and . CoRR, (2021)Few-Shot Class Incremental Learning Leveraging Self-Supervised Features., , , , , , and . CVPR Workshops, page 3899-3909. IEEE, (2022)Automatic Open-World Reliability Assessment., , , , , and . CoRR, (2020)I-MOVE: Independent Moving Objects for Velocity Estimation., , and . WACV, page 1090-1099. IEEE, (2020)Open-World Learning Without Labels., , , , , and . CoRR, (2020)Towards a Unifying Framework for Formal Theories of Novelty., , , , , , , , , and 4 other author(s). AAAI, page 15047-15052. AAAI Press, (2021)