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Few-Shot Class-Incremental Learning

Few-Shot Class-Incremental Learning

23 April 2020
Xiaoyu Tao
Xiaopeng Hong
Xinyuan Chang
Songlin Dong
Xing Wei
Yihong Gong
    CLL
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Papers citing "Few-Shot Class-Incremental Learning"

44 / 44 papers shown
Title
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
Renye Zhang
Yimin Yin
Jinghua Zhang
CLL
50
0
0
29 Apr 2025
POET: Prompt Offset Tuning for Continual Human Action Adaptation
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg
Joseph K J
V. Balasubramanian
Necati Cihan Camgöz
Chengde Wan
Kenrick Kin
Weiguang Si
Shugao Ma
Fernando De la Torre
53
0
0
25 Apr 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
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
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning
Kyle Stein
A. Mahyari
Guillermo Francia III
Eman El-Sheikh
CLL
58
0
0
11 Apr 2025
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
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
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
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
Junghun Oh
Sungyong Baik
Kyoung Mu Lee
CLL
29
3
0
08 Oct 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
Cuiwei Liu
Siang Xu
Huaijun Qiu
Jing Zhang
Zhi Liu
Liang Zhao
CLL
27
0
0
18 Sep 2024
Joint Input and Output Coordination for Class-Incremental Learning
Joint Input and Output Coordination for Class-Incremental Learning
Shuai Wang
Yibing Zhan
Yong Luo
Han Hu
Wei Yu
Yonggang Wen
Dacheng Tao
CLL
32
2
0
09 Sep 2024
A Comprehensive Review of Few-shot Action Recognition
A Comprehensive Review of Few-shot Action Recognition
Yuyang Wanyan
Xiaoshan Yang
Weiming Dong
Changsheng Xu
VLM
61
3
0
20 Jul 2024
Reshaping the Online Data Buffering and Organizing Mechanism for
  Continual Test-Time Adaptation
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
Zhilin Zhu
Xiaopeng Hong
Zhiheng Ma
Weijun Zhuang
Yaohui Ma
Yong Dai
Yaowei Wang
CLL
TTA
33
2
0
12 Jul 2024
One-Shot Domain Incremental Learning
One-Shot Domain Incremental Learning
Yasushi Esaki
Satoshi Koide
Takuro Kutsuna
CLL
VLM
35
0
0
25 Mar 2024
NTK-Guided Few-Shot Class Incremental Learning
NTK-Guided Few-Shot Class Incremental Learning
Jingren Liu
Zhong Ji
Yanwei Pang
Yunlong Yu
CLL
32
3
0
19 Mar 2024
PL-FSCIL: Harnessing the Power of Prompts for Few-Shot Class-Incremental
  Learning
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
29
3
0
26 Jan 2024
Sketch Input Method Editor: A Comprehensive Dataset and Methodology for
  Systematic Input Recognition
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
21
2
0
30 Nov 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
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
27
8
0
03 Aug 2023
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in
  Robotics
CBCL-PR: A Cognitively Inspired Model for Class-Incremental Learning in Robotics
Ali Ayub
Alan R. Wagner
CLL
27
4
0
31 Jul 2023
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Ye Wang
Yaxiong Wang
Guoshuai Zhao
Xueming Qian
CLL
22
1
0
19 Jun 2023
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Ali Ayub
Zachary De Francesco
Patrick Holthaus
Chrystopher L. Nehaniv
Kerstin Dautenhahn
CLL
HAI
24
5
0
22 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu
Xiang Yuan
Deyu Meng
Zongben Xu
26
4
0
13 May 2023
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems
Jason Yik
Korneel Van den Berghe
Douwe den Blanken
Younes Bouhadjar
Maxime Fabre
...
Fatima Tuz Zohora
Charlotte Frenkel
Vijay Janapa Reddi
Charlotte Frenkel
Vijay Janapa Reddi
23
17
0
10 Apr 2023
Exploring Data Geometry for Continual Learning
Exploring Data Geometry for Continual Learning
Zhi Gao
C. Xu
Feng Li
Yunde Jia
Mehrtash Harandi
Yuwei Wu
CLL
21
9
0
08 Apr 2023
Towards Open Temporal Graph Neural Networks
Towards Open Temporal Graph Neural Networks
Kaituo Feng
Changsheng Li
Xiaolu Zhang
Jun Zhou
AI4CE
22
15
0
27 Mar 2023
Two-level Graph Network for Few-Shot Class-Incremental Learning
Two-level Graph Network for Few-Shot Class-Incremental Learning
Hao Chen
Linyan Li
Fan Lyu
Fuyuan Hu
Zhenping Xia
Fenglei Xu
CLL
18
0
0
24 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
25
13
0
15 Mar 2023
Centroid Distance Distillation for Effective Rehearsal in Continual
  Learning
Centroid Distance Distillation for Effective Rehearsal in Continual Learning
Daofeng Liu
Fan Lyu
Linyan Li
Zhenping Xia
Fuyuan Hu
17
4
0
06 Mar 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of
  Adapters
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters
Yawen Cui
Zitong Yu
Rizhao Cai
Xuna Wang
Alex C. Kot
Li Liu
CLL
15
7
0
12 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class
  Incremental Learning
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
22
96
0
06 Feb 2023
Towards Label-Efficient Incremental Learning: A Survey
Towards Label-Efficient Incremental Learning: A Survey
Mert Kilickaya
Joost van de Weijer
Yuki M. Asano
CLL
20
4
0
01 Feb 2023
Better Generalized Few-Shot Learning Even Without Base Data
Better Generalized Few-Shot Learning Even Without Base Data
Seongwoong Kim
Dong-Wan Choi
14
7
0
29 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Bin Liu
KELM
CLL
VLM
19
67
0
23 Nov 2022
Fast Hierarchical Learning for Few-Shot Object Detection
Fast Hierarchical Learning for Few-Shot Object Detection
Yihang She
Goutam Bhat
Martin Danelljan
F. I. F. Richard Yu
ObjD
9
1
0
10 Oct 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of
  ORBIT Challenge 2022
Improving ProtoNet for Few-Shot Video Object Recognition: Winner of ORBIT Challenge 2022
Liming Gu
Zhixiang Chi
Huan Liu
Yuanhao Yu
Yang Wang
17
5
0
01 Oct 2022
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free
  Replay
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
17
80
0
22 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis
  in Hyperbolic Geometry
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry
Yawen Cui
Zitong Yu
Wei Peng
Li Liu
CLL
8
10
0
20 Jul 2022
Learning Representations for New Sound Classes With Continual
  Self-Supervised Learning
Learning Representations for New Sound Classes With Continual Self-Supervised Learning
Zhepei Wang
Cem Subakan
Xilin Jiang
Junkai Wu
Efthymios Tzinis
Mirco Ravanelli
Paris Smaragdis
CLL
SSL
57
19
0
15 May 2022
Constrained Few-shot Class-incremental Learning
Constrained Few-shot Class-incremental Learning
Michael Hersche
G. Karunaratne
G. Cherubini
Luca Benini
A. Sebastian
Abbas Rahimi
CLL
19
141
0
30 Mar 2022
Enabling hand gesture customization on wrist-worn devices
Enabling hand gesture customization on wrist-worn devices
Xuhai Xu
Jun Gong
Carolina Brum
Lilian Liang
Bongsoo Suh
...
Heri Nieto
Scott E. Hudson
Charlie Maalouf
S. Mousavi
Gierad Laput
15
65
0
29 Mar 2022
Deep Class Incremental Learning from Decentralized Data
Deep Class Incremental Learning from Decentralized Data
Xiaohan Zhang
Songlin Dong
Jinjie Chen
Qiaoling Tian
Yihong Gong
Xiaopeng Hong
CLL
17
11
0
11 Mar 2022
Graph Few-shot Class-incremental Learning
Graph Few-shot Class-incremental Learning
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
CLL
GNN
22
59
0
23 Dec 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
Linlan Zhao
Dashan Guo
Yunlu Xu
Liang Qiao
Zhanzhan Cheng
Shiliang Pu
Yi Niu
Xi Fang
CLL
16
2
0
21 Oct 2021
Subspace Regularizers for Few-Shot Class Incremental Learning
Subspace Regularizers for Few-Shot Class Incremental Learning
Afra Feyza Akyürek
Ekin Akyürek
Derry Wijaya
Jacob Andreas
CLL
17
59
0
13 Oct 2021
Generalized and Incremental Few-Shot Learning by Explicit Learning and
  Calibration without Forgetting
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting
Anna Kukleva
Hilde Kuehne
Bernt Schiele
CLL
15
50
0
18 Aug 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
1