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Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM).

, , , , and . IEEE BigData, page 441-448. IEEE, (2020)

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A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion., , , , , , , , , and 4 other author(s). CoRR, (2020)Few-Shot Class Incremental Learning Leveraging Self-Supervised Features., , , , , , and . CVPR Workshops, page 3899-3909. IEEE, (2022)Open issues in open world learning., , , and . AI Mag., (2025)Automatic Open-World Reliability Assessment., , , , , and . CoRR, (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)Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts., , , , , and . CVPR, page 2133-2143. Computer Vision Foundation / IEEE, (2021)Infoprint: Information Theoretic Digital Image Forensics., , , , , and . ICIP, page 638-642. IEEE, (2020)Variable Few Shot Class Incremental and Open World Learning., , , , , , and . CVPR Workshops, page 3687-3698. IEEE, (2022)GHOST: Gaussian Hypothesis Open-Set Technique., , , and . CoRR, (February 2025)