Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning

19 July 2021

Papers citing "Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning"

21 / 21 papers shown

Title
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning Renye Zhang Yimin Yin Jinghua Zhang CLL 57 0 0 29 Apr 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning Linhao Li Yongzhang Tan Siyuan Yang Hao Cheng Yongfeng Dong Liang Yang CLL 47 0 0 15 Apr 2025
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning M. A. Ma'sum Mahardhika Pratama Igor Skrjanc CLL 41 0 0 12 Feb 2025
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation Wenbo Xu Yanan Wu Haoran Jiang Yang Wang Qiang Wu Jian Andrew Zhang CLL VLM 21 0 0 16 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 34 3 0 08 Oct 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning Zhi-Hong Qi Da-Wei Zhou Yiran Yao Han-Jia Ye De-Chuan Zhan CLL 40 5 0 11 Sep 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental Learning Songsong Tian Lusi Li Weijun Li Hang Ran Li Li X. Ning CLL VLM 34 3 0 26 Jan 2024
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for Systematic Input Recognition Guangming Zhu Siyuan Wang Qing Cheng Kelong Wu Hao Li Liang Zhang 26 2 0 30 Nov 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Xiangtai Li Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Bernard Ghanem CLL 31 8 0 03 Aug 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning Ye Wang Yaxiong Wang Guoshuai Zhao Xueming Qian CLL 29 1 0 19 Jun 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Few-shot Class-incremental Learning for Cross-domain Disease Classification Han Yang Weijian Huang Jiarun Liu Cheng Li Shanshan Wang CLL 29 4 0 12 Apr 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning Hao Chen Linyan Li Fan Lyu Fuyuan Hu Zhenping Xia Fenglei Xu CLL 26 0 0 24 Mar 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Li Liu CLL 22 7 0 12 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Yibo Yang Haobo Yuan Xiangtai Li Zhouchen Lin Philip H. S. Torr Dacheng Tao CLL 32 96 0 06 Feb 2023
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay Huan Liu Li Gu Zhixiang Chi Yang Wang Yuanhao Yu Jun Chen Jingshan Tang 28 81 0 22 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 8 11 0 20 Jul 2022
Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang Jianqiang Xiao Xialei Liu Ying-Cong Chen Mingg-Ming Cheng SSeg CLL 37 93 0 10 Mar 2022
Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation Chengwei Qin Shafiq R. Joty BDL CLL 13 33 0 04 Mar 2022
Subspace Regularizers for Few-Shot Class Incremental Learning Afra Feyza Akyürek Ekin Akyürek Derry Wijaya Jacob Andreas CLL 19 59 0 13 Oct 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 23 73 0 23 Sep 2021