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

31 March 2022

Da-Wei Zhou

Han-Jia Ye

Papers citing "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks"

25 / 75 papers shown

Title
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 14 0 0 08 Apr 2023
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning Zeyin Song Yifan Zhao Yujun Shi Peixi Peng Liuliang Yuan Yonghong Tian CLL 19 58 0 02 Apr 2023
Semantic-visual Guided Transformer for Few-shot Class-incremental Learning Wen-Qiang Qiu Sichao Fu Jingyi Zhang Chengxiang Lei Qinmu Peng 27 11 0 27 Mar 2023
Forget-free Continual Learning with Soft-Winning SubNetworks Haeyong Kang Jaehong Yoon Sultan Rizky Hikmawan Madjid Sung Ju Hwang Chang-Dong Yoo CLL 31 4 0 27 Mar 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning Hao Chen Linyan Li Fan Lyu Fuyuan Hu Zhenping Xia Fenglei Xu CLL 28 0 0 24 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need Da-Wei Zhou Han-Jia Ye De-Chuan Zhan Ziwei Liu CLL 33 99 0 13 Mar 2023
Multimodal Parameter-Efficient Few-Shot Class Incremental Learning Marco D’Alessandro Alberto Alonso Enrique Calabrés M. Galar CLL 35 13 0 08 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 28 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
No One Left Behind: Real-World Federated Class-Incremental Learning Jiahua Dong Hongliu Li Yang Cong Gan Sun Yulun Zhang Dengxin Dai FedML CLL 18 38 0 02 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 36 601 0 31 Jan 2023
Multi-Label Continual Learning using Augmented Graph Convolutional Network Kaile Du Fan Lyu Linyan Li Fuyuan Hu Wei Feng Fenglei Xu Xuefeng Xi Hanjing Cheng CLL 25 13 0 27 Nov 2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning Haeyong Kang Jaehong Yoon Sultan Rizky Hikmawan Madjid Sung Ju Hwang Chang-Dong Yoo CLL 47 41 0 15 Sep 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 21 11 0 20 Jul 2022
Class-Incremental Lifelong Learning in Multi-Label Classification Kaile Du Linyan Li Fan Lyu Fuyuan Hu Zhenping Xia Fenglei Xu CLL 14 4 0 16 Jul 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 21 122 0 26 May 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning Fu Lee Wang Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 25 240 0 10 Apr 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 277 3,623 0 24 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,428 0 04 Jan 2021
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon Do-Yeon Kim Jun Seo Jaekyun Moon CLL 178 46 0 19 Mar 2020
Incremental Object Detection via Meta-Learning K. J. Joseph Jathushan Rajasegaran Salman Khan F. Khan V. Balasubramanian ObjD CLL VLM 177 98 0 17 Mar 2020
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 170 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014