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A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning



Da-Wei Zhou , Qi-Wei Wang , Han-Jia Ye , De-Chuan Zhan


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FOSTER: Feature Boosting and Compression for Class-Incremental Learning



Fu-Yun Wang , Da-Wei Zhou , Han-Jia Ye , De-Chuan Zhan


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Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks



Da-Wei Zhou , Han-Jia Ye , De-Chuan Zhan


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Forward Compatible Few-Shot Class-Incremental Learning



Da-Wei Zhou , Fu-Yun Wang , Han-Jia Ye , Liang Ma , Shiliang Pu , De-Chuan Zhan

* Accepted to CVPR 2022. Code is available at: https://github.com/zhoudw-zdw/CVPR22-Fact 

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PyCIL: A Python Toolbox for Class-Incremental Learning



Da-Wei Zhou , Fu-Yun Wang , Han-Jia Ye , De-Chuan Zhan

* Technical report. Code is available at https://github.com/G-U-N/PyCIL 

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Co-Transport for Class-Incremental Learning



Da-Wei Zhou , Han-Jia Ye , De-Chuan Zhan

* Accepted to ACM Multimedia 2021 

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Contextualizing Multiple Tasks via Learning to Decompose



Han-Jia Ye , Da-Wei Zhou , Lanqing Hong , Zhenguo Li , Xiu-Shen Wei , De-Chuan Zhan


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Learning Placeholders for Open-Set Recognition



Da-Wei Zhou , Han-Jia Ye , De-Chuan Zhan

* Accepted to CVPR 2021 as an Oral Presentation 

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