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Improving Deep Network Robustness to Unknown Inputs with Objectosphere., , and . CVPR Workshops, page 87-90. Computer Vision Foundation / IEEE, (2019)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)Consistency and Accuracy of CelebA Attribute Values., , , , , and . CoRR, (2022)ComFu: Improving Visual Clustering by Commonality Fusion., , and . ICMLA, page 143-150. IEEE, (2021)Agglomerative Clustering with Threshold Optimization via Extreme Value Theory., , , , , , and . Algorithms, 15 (5): 170 (2022)Learning and the Unknown: Surveying Steps toward Open World Recognition., , , , , and . AAAI, page 9801-9807. AAAI Press, (2019)Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM)., , , , and . IEEE BigData, page 441-448. IEEE, (2020)Open-set face recognition with maximal entropy and Objectosphere loss., , , , and . Image Vis. Comput., (January 2024)Open-Set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature Augmentation., , and . SIBGRAPI, page 55-60. IEEE, (2023)