Class-incremental exemplar compression for class-incremental learning
Exemplar-based class-incremental learning (CIL) finetunes the model with all samples of new classes but few-shot exemplars of old classes in each incremental phase, where the "few-shot" abides by the limited memory budget. In this paper, we break this "few-shot" limit based on a...
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語言: | English |
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Institutional Knowledge at Singapore Management University
2023
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在線閱讀: | https://ink.library.smu.edu.sg/sis_research/8055 https://ink.library.smu.edu.sg/context/sis_research/article/9058/viewcontent/Luo_Class_Incremental_Exemplar_Compression_for_Class_Incremental_Learning_CVPR_2023_paper.pdf |
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