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"

23 / 23 papers shown

Title
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning Linhao Li Yongzhang Tan Siyuan Yang Hao Cheng Yongfeng Dong Liang Yang CLL 129 0 0 15 Apr 2025
Diffusion Meets Few-shot Class Incremental Learning Junsu Kim Yunhoe Ku Dongyoon Han Seungryul Baek DiffM CLL 170 0 0 30 Mar 2025
Progressive One-shot Human Parsing Haoyu He Jing Zhang B. Thuraisingham Dacheng Tao VLM 41 17 0 22 Dec 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things Jing Zhang Dacheng Tao 86 468 0 17 Nov 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 88 409 0 23 Apr 2020
Self-Supervised Tuning for Few-Shot Segmentation Kai Zhu Wei Zhai Zhengjun Zha Yang Cao 60 28 0 12 Apr 2020
Semantic Drift Compensation for Class-Incremental Learning Lu Yu Bartlomiej Twardowski Xialei Liu Luis Herranz Kai Wang Yongmei Cheng Shangling Jui Joost van de Weijer CLL 76 341 0 01 Apr 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting Yaoyao Liu Yuting Su Anan Liu Bernt Schiele Qianru Sun CLL 73 344 0 24 Feb 2020
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 111 425 0 16 Nov 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 89 1,256 0 30 May 2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning Spyros Gidaris N. Komodakis 72 231 0 03 May 2019
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 78 891 0 15 Apr 2019
Incremental Few-Shot Learning with Attention Attractor Networks Mengye Ren Renjie Liao Ethan Fetaya R. Zemel CLL 86 181 0 16 Oct 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 85 1,157 0 25 Jul 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 132 1,370 0 16 Jul 2018
Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris N. Komodakis VLM 59 1,130 0 25 Apr 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 276 4,047 0 16 Nov 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 285 8,129 0 15 Mar 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 129 3,754 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 282 4,400 0 29 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 351 7,316 0 13 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,330 0 04 Sep 2014