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FOSTER: Feature Boosting and Compression for Class-Incremental Learning., , , and . ECCV (25), volume 13685 of Lecture Notes in Computer Science, page 398-414. Springer, (2022)Deep Class-Incremental Learning: A Survey., , , , , and . CoRR, (2023)Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need., , , and . CoRR, (2023)A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning., , , and . ICLR, OpenReview.net, (2023)Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability., , , , and . KDD, page 74-82. ACM, (2019)Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation., , , and . INTERSPEECH, page 531-535. ISCA, (2022)Preserving Locality in Vision Transformers for Class Incremental Learning., , , and . ICME, page 1157-1162. IEEE, (2023)Learning Placeholders for Open-Set Recognition., , and . CVPR, page 4401-4410. Computer Vision Foundation / IEEE, (2021)Detecting Sequentially Novel Classes with Stable Generalization Ability., , and . PAKDD (1), volume 12712 of Lecture Notes in Computer Science, page 371-382. Springer, (2021)A Frequency Tunable PIFA Design for Handset Applications., , , , , , and . MobiMedia, volume 77 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 688-693. Springer, (2010)