Class incremental learning via feature space calibrationOA
Class incremental learning via feature space calibration
Jeonghoon Kim;Jinming Cao;Jihie Kim;Roger Zimmermann;Seongsik Park
Dongguk University,Seoul,Republic of KoreaSchool of Computing,National University of Singapore,SingaporeDongguk University,Seoul,Republic of KoreaSchool of Computing,National University of Singapore,SingaporeKorean National Open University,Seoul,Republic of Korea
incremental learningloss functiondeep learningimage classification
incremental learningloss functiondeep learningimage classification
《计算可视媒体（英文）》 2025 (5)
1025-1039,15
This research was supported by the Ministry of Science and ICT,Republic of Korea,under the Information Technology Research Center Support Program(IITP-2024-2020-0-01789),and the Artifi-cial Intelligence Convergence Innovation Human Resources Development(IITP-2024-RS-2023-00254592)supervised by the Institute for Information &Communications Technology Planning & Evaluation(IITP).This research was also supported by the National Research Foundation,Singapore,and Ministry of National Development,Singapore,under its Cities of Tomorrow R&D Programme(CoT NRF-CoT-V4-2020-9).Any opinions,findings,conclusions,and recommendations expressed in this material are those of the authors and do not reflect the views of the Singaporean National Research Foundation,Ministry of National Development,National Parks Board,or Housing Development Board.We would also like to acknowledge the National Parks Board for comments and assistance with providing locality information and images of flora and fauna used in this project.
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