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2004.10956
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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"
50 / 230 papers shown
Breaking Forgetting: Training-Free Few-Shot Class-Incremental Learning via Conditional Diffusion
Haidong Kang
Ketong Qian
Yi Lu
CLL
321
0
0
23 Nov 2025
Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL
Ruitao Wu
Yifan Zhao
Guangyao Chen
Jia Li
270
0
0
04 Oct 2025
SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network
Huijing Zhang
Muyang Cao
Linshan Jiang
Xin Du
Di Yu
Changze Lv
Shuiguang Deng
167
0
0
04 Oct 2025
MoTiC: Momentum Tightness and Contrast for Few-Shot Class-Incremental Learning
Zeyu He
Shuai Huang
Yuwu Lu
Ming Zhao
CLL
187
0
0
24 Sep 2025
Towards Robust Visual Continual Learning with Multi-Prototype Supervision
Xiwei Liu
Yulong Li
Yichen Li
Xinlin Zhuang
Haolin Yang
Huifa Li
Imran Razzak
VLM
233
1
0
19 Sep 2025
Cross-Domain Attribute Alignment with CLIP: A Rehearsal-Free Approach for Class-Incremental Unsupervised Domain Adaptation
Kerun Mi
Guoliang Kang
Guangyu Li
Lin Zhao
Tao Zhou
Chen Gong
CLL
130
0
0
14 Sep 2025
DSS-Prompt: Dynamic-Static Synergistic Prompting for Few-Shot Class-Incremental Learning
Linpu He
Yanan Li
Bingze Li
E. Cui
Donghui Wang
CLL
VLM
274
3
0
13 Aug 2025
Sculpting Margin Penalty: Intra-Task Adapter Merging and Classifier Calibration for Few-Shot Class-Incremental Learning
Liang Bai
Hong Song
Jinfu Li
Yucong Lin
Jingfan Fan
Tianyu Fu
Danni Ai
Deqiang Xiao
Jian Yang
CLL
206
0
0
07 Aug 2025
Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning
Fan Lyu
Linglan Zhao
Chengyan Liu
Yinying Mei
Zhang Zhang
Jian Zhang
Fuyuan Hu
Liang Wang
182
0
0
31 Jul 2025
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
Yongwei Jiang
Yixiong Zou
Yuhua Li
Ruixuan Li
CLL
330
7
0
12 Jul 2025
The Bayesian Approach to Continual Learning: An Overview
Tameem Adel
CLL
BDL
KELM
393
3
0
11 Jul 2025
EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental Learning
Huaijie Wang
De Cheng
Lingfeng He
Yan Li
Jie Li
Nannan Wang
X. Gao
CLL
239
2
0
14 Jun 2025
CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization
Dasol Hong
Wooju Lee
Hyun Myung
252
0
0
09 Jun 2025
Generalized Incremental Learning under Concept Drift across Evolving Data Streams
En Yu
Jie Lu
G. Zhang
CLL
TTA
304
2
0
06 Jun 2025
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
Computer Vision and Pattern Recognition (CVPR), 2025
Juntae Lee
Munawar Hayat
Sungrack Yun
CLL
351
3
0
04 Jun 2025
Chameleon: A MatMul-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data
Douwe den Blanken
Charlotte Frenkel
277
0
0
30 May 2025
Few-Shot Class-Incremental Learning For Efficient SAR Automatic Target Recognition
International Conference on Information Photonics (ICIP), 2025
George Karantaidis
Athanasios Pantsios
I. Kompatsiaris
Symeon Papadopoulos
189
1
0
26 May 2025
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
Songlin Dong
Chenhao Ding
Jiangyang Li
Jizhou Han
Qiang Wang
Yuhang He
Yihong Gong
CLL
VLM
380
3
0
12 May 2025
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
Renye Zhang
Yimin Yin
Jinghua Zhang
CLL
316
0
0
29 Apr 2025
POET: Prompt Offset Tuning for Continual Human Action Adaptation
European Conference on Computer Vision (ECCV), 2025
Prachi Garg
Joseph K J
V. Balasubramanian
Necati Cihan Camgöz
Chengde Wan
Kenrick Kin
Weiguang Si
Shugao Ma
Fernando de la Torre
359
1
0
25 Apr 2025
Few-Shot Vision-Language Action-Incremental Policy Learning
Mingchen Song
Xiang Deng
Guoqiang Zhong
Qi Lv
Jia Wan
Yinchuan Li
Haifeng Zhang
Weili Guan
376
3
0
22 Apr 2025
MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL
Jinhui Pang
Changqing Lin
Hao Lin
Zhihui Zhang
Zhengjun Li
Zhihui Zhang
Xiaoshuai Hao
CLL
435
0
0
18 Apr 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
AAAI Conference on Artificial Intelligence (AAAI), 2025
Linhao Li
Yongzhang Tan
Siyuan Yang
Hao Cheng
Yongfeng Dong
Liang Yang
CLL
452
8
0
15 Apr 2025
Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning
Kyle Stein
A. Mahyari
Guillermo Francia III
Eman El-Sheikh
CLL
432
1
0
11 Apr 2025
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision
Aditya Hemant Shahane
Prathosh A.P
Sandeep Kumar
CLL
279
0
0
07 Apr 2025
Beyond Synthetic Replays: Turning Diffusion Features into Few-Shot Class-Incremental Learning Knowledge
Junsu Kim
Yunhoe Ku
Dongyoon Han
Seungryul Baek
DiffM
475
1
0
30 Mar 2025
Learn by Reasoning: Analogical Weight Generation for Few-Shot Class-Incremental Learning
Jizhou Han
Chenhao Ding
Yuhang He
Songlin Dong
Qiang Wang
Xinyuan Gao
Yihong Gong
CLL
268
4
0
27 Mar 2025
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Xusheng Cao
Haori Lu
Linlan Huang
Fei Yang
Xialei Liu
Ming-Ming Cheng
CLL
KELM
323
1
0
24 Mar 2025
An experimental approach on Few Shot Class Incremental Learning
Marinela Adam
CLL
368
0
0
14 Mar 2025
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings
Yanis Basso-Bert
Anca Molnos
Romain Lemaire
William Guicquero
Antoine Dupret
BDL
348
0
0
13 Mar 2025
Does Prior Data Matter? Exploring Joint Training in the Context of Few-Shot Class-Incremental Learning
Shiwon Kim
Dongjun Hwang
Sungwon Woo
Rita Singh
CLL
473
0
0
13 Mar 2025
Few-Shot Class-Incremental Model Attribution Using Learnable Representation From CLIP-ViT Features
Hanbyul Lee
Juneho Yi
DiffM
380
1
0
11 Mar 2025
Diversity Covariance-Aware Prompt Learning for Vision-Language Models
Songlin Dong
Zhengdong Zhou
Chenhao Ding
Xinyuan Gao
Alex C. Kot
Yihong Gong
VPVLM
VLM
433
1
0
03 Mar 2025
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Songlin Dong
Yuhang He
Zhengdong Zhou
Haoyu Luo
Xing Wei
Alex C. Kot
Yihong Gong
CLL
434
3
0
01 Mar 2025
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
Yongbin Li
Xiangkun Wang
Xin Yang
Marcello Bonsangue
Jing Zhang
Tianrui Li
CLL
VLM
461
3
0
28 Feb 2025
Brain-inspired analogical mixture prototypes for few-shot class-incremental learning
Wanyi Li
Wei Wei
Yongkang Luo
Peng Wang
CLL
426
0
0
26 Feb 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
537
6
0
12 Feb 2025
Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Kirill Paramonov
Mete Ozay
Eunju Yang
J. Moon
Umberto Michieli
266
1
0
28 Jan 2025
Strategic Base Representation Learning via Feature Augmentations for Few-Shot Class Incremental Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Parinita Nema
V. Kurmi
CLL
353
5
0
17 Jan 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Representation Space Guided Inversion
Chenqi Li
Boyan Gao
Gabriel Jones
Timothy Denison
Tingting Zhu
688
0
0
18 Dec 2024
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
Chengyan Liu
Linglan Zhao
Fan Lyu
Kaile Du
Fuyuan Hu
Tao Zhou
CLL
371
2
0
17 Dec 2024
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
Pengfei Fang
Yongchun Qin
H. Xue
CLL
394
0
0
15 Dec 2024
Class Balance Matters to Active Class-Incremental Learning
ACM Multimedia (MM), 2024
Zitong Huang
Zhaoyu Chen
Yuanze Li
Bowen Dong
Erjin Zhou
Y. Liu
Rick Siow Mong Goh
Chun-Mei Feng
W. Zuo
CLL
413
8
0
09 Dec 2024
Inductive Graph Few-shot Class Incremental Learning
Web Search and Data Mining (WSDM), 2024
Yongqian Li
Peyman Moghadam
Can Peng
Nan Ye
Piotr Koniusz
457
5
0
11 Nov 2024
Covariance-based Space Regularization for Few-shot Class Incremental Learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Yijie Hu
Guanyu Yang
Zhaorui Tan
Xiaowei Huang
K. Huang
Qiu-Feng Wang
CLL
299
5
0
02 Nov 2024
Vector Quantization Prompting for Continual Learning
Neural Information Processing Systems (NeurIPS), 2024
L. Jiao
Qiuxia Lai
Yu LI
Qiang Xu
VLM
CLL
339
10
0
27 Oct 2024
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning
ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2024
Chen Gong
Zhenzhe Zheng
Fan Wu
Xiaofeng Jia
Guihai Chen
LMTD
FedML
423
12
0
24 Oct 2024
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks
International Conference on Pattern Recognition (ICPR), 2024
Munsif Ali
L. Rossi
Massimo Bertozzi
GAN
CLL
303
4
0
17 Oct 2024
Task Consistent Prototype Learning for Incremental Few-shot Semantic Segmentation
International Conference on Pattern Recognition (ICPR), 2024
Wenbo Xu
Yanan Wu
Haoran Jiang
Yang Wang
Qiang Wu
Jian Zhang
CLL
VLM
258
1
0
16 Oct 2024
Foundation Model-Powered 3D Few-Shot Class Incremental Learning via Training-free Adaptor
Asian Conference on Computer Vision (ACCV), 2024
Sahar Ahmadi
A. Cheraghian
Morteza Saberi
Md. Towsif Abir
Hamidreza Dastmalchi
Farookh Hussain
Shafin Rahman
3DPC
318
2
0
11 Oct 2024
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