ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.04662
  4. Cited By
FOSTER: Feature Boosting and Compression for Class-Incremental Learning

FOSTER: Feature Boosting and Compression for Class-Incremental Learning

10 April 2022
Fu Lee Wang
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
    CLL
ArXivPDFHTML

Papers citing "FOSTER: Feature Boosting and Compression for Class-Incremental Learning"

44 / 44 papers shown
Title
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Zhenrong Liu
Janne M. J. Huttunen
Mikko Honkala
CLL
49
0
0
13 May 2025
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
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
42
0
0
12 May 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning
Xuan Liu
Xiaobin Chang
CLL
263
0
0
23 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping
Guannan Lai
Yujie Li
Xiangkun Wang
Jun Zhang
Tianrui Li
Xin Yang
CLL
51
0
0
27 Feb 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Achieving Upper Bound Accuracy of Joint Training in Continual Learning
Saleh Momeni
Bing Liu
CLL
89
1
0
17 Feb 2025
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models
Chiyuan He
Zihuan Qiu
Fanman Meng
Linfeng Xu
Qi Wu
Houqiang Li
VLM
CLL
KELM
68
0
0
02 Feb 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition
George Karantaidis
Athanasios Pantsios
Y. Kompatsiaris
Symeon Papadopoulos
CLL
67
0
0
20 Jan 2025
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA
Haodong Lu
Chongyang Zhao
Jason Xue
Lina Yao
Kristen Moore
Dong Gong
VLM
KELM
CLL
92
4
0
01 Dec 2024
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning
Zhiming Xu
Steve Yang
Baile Xu
Jian Zhao
Furao Shen
CLL
90
0
0
26 Nov 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective
  Feature Synthesis
Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
Liang Bai
Hong Song
Yucong Lin
Tianyu Fu
Deqiang Xiao
Danni Ai
Jingfan Fan
Jian Yang
CLL
41
0
0
03 Nov 2024
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
38
0
0
02 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLL
AI4CE
76
2
0
01 Oct 2024
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
Jiashuo Li
Shaokun Wang
Bo Qian
Yuhang He
Xing Wei
Qiang Wang
Yihong Gong
CLL
85
2
0
23 Sep 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
36
0
0
18 Sep 2024
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
Yi Yang
Lei Zhong
Huiping Zhuang
3DPC
CLL
47
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
40
2
0
09 Sep 2024
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Theoretical Insights into Overparameterized Models in Multi-Task and Replay-Based Continual Learning
Mohammadamin Banayeeanzade
Mahdi Soltanolkotabi
Mohammad Rostami
CLL
LRM
103
1
0
29 Aug 2024
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Yuanzhi Su
Siyuan Chen
Yuan-Gen Wang
CLL
39
2
0
02 Aug 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory
  Overfitting Challenge in Continual Learning
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
Hikmat Khan
Ghulam Rasool
N. Bouaynaya
AAML
30
0
0
20 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation
  Tuning
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang
Xuxin Lin
Yanyan Liang
Jun Wan
Du Zhang
CLL
50
1
0
20 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning
N. Raichur
Lucas Heublein
Tobias Feigl
A. Rügamer
Christopher Mutschler
Felix Ott
CLL
BDL
73
7
0
17 May 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
Chenxing Hong
Yan Jin
Zhiqi Kang
Yizhou Chen
Mengke Li
Yang Lu
Hanzi Wang
49
3
0
23 Apr 2024
Brain-Inspired Continual Learning-Robust Feature Distillation and
  Re-Consolidation for Class Incremental Learning
Brain-Inspired Continual Learning-Robust Feature Distillation and Re-Consolidation for Class Incremental Learning
Hikmat Khan
N. Bouaynaya
Ghulam Rasool
CLL
38
1
0
22 Apr 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness
Jaeill Kim
Wonseok Lee
Moonjung Eo
Wonjong Rhee
CLL
51
0
0
22 Mar 2024
Hyperparameters in Continual Learning: A Reality Check
Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha
Kyunghyun Cho
CLL
71
2
0
14 Mar 2024
Continual Segmentation with Disentangled Objectness Learning and Class
  Recognition
Continual Segmentation with Disentangled Objectness Learning and Class Recognition
Yizheng Gong
Siyue Yu
Xiaoyang Wang
Jimin Xiao
CLL
37
5
0
06 Mar 2024
Divide and not forget: Ensemble of selectively trained experts in
  Continual Learning
Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Grzegorz Rype'sć
Sebastian Cygert
Valeriya Khan
Tomasz Trzciñski
Bartosz Zieliñski
Bartlomiej Twardowski
CLL
29
28
0
18 Jan 2024
Prompt-Based Exemplar Super-Compression and Regeneration for
  Class-Incremental Learning
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
Ruxiao Duan
Yaoyao Liu
Jieneng Chen
Adam Kortylewski
Alan Yuille
DiffM
VLM
38
1
0
30 Nov 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox
Hai-Long Sun
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
115
27
0
13 Sep 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for
  Generalized Class Incremental Learning
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
27
0
0
13 Aug 2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Jiahua Dong
Wenqi Liang
Yang Cong
Gan Sun
CLL
28
19
0
07 Aug 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
Hefei Ling
Jianlong Wu
Lefei Zhang
Zhouchen Lin
Philip Torr
Dacheng Tao
Guohao Li
CLL
33
8
0
03 Aug 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language Models
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLM
CLL
74
37
0
30 May 2023
Gen-L-Video: Multi-Text to Long Video Generation via Temporal
  Co-Denoising
Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising
Fu Lee Wang
Wenshuo Chen
Guanglu Song
Han-Jia Ye
Yu Liu
Hongsheng Li
VGen
DiffM
50
89
0
29 May 2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes
  Augmentation and Mixed Features
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features
Kenny Song
Quan Xia
Guoqiang Liang
Zhaoji Chen
Yanning Zhang
CLL
33
6
0
16 Apr 2023
Preserving Locality in Vision Transformers for Class Incremental
  Learning
Preserving Locality in Vision Transformers for Class Incremental Learning
Bowen Zheng
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
34
5
0
14 Apr 2023
Taxonomic Class Incremental Learning
Taxonomic Class Incremental Learning
Yuzhao Chen
Zonghua Li
Zhiyuan Hu
Nuno Vasconcelos
CLL
38
3
0
12 Apr 2023
Continual Detection Transformer for Incremental Object Detection
Continual Detection Transformer for Incremental Object Detection
Yaoyao Liu
Bernt Schiele
Andrea Vedaldi
Christian Rupprecht
CLL
18
52
0
06 Apr 2023
Remind of the Past: Incremental Learning with Analogical Prompts
Remind of the Past: Incremental Learning with Analogical Prompts
Zhiheng Ma
Xiaopeng Hong
Beinan Liu
Yabin Wang
Pinyue Guo
Huiyun Li
CLL
34
1
0
24 Mar 2023
Towards Continual Egocentric Activity Recognition: A Multi-modal
  Egocentric Activity Dataset for Continual Learning
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning
Linfeng Xu
Qingbo Wu
Lili Pan
Fanman Meng
Hongliang Li
Chiyuan He
Hanxin Wang
Shaoxu Cheng
Yunshu Dai
EgoV
HAI
31
23
0
26 Jan 2023
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSL
BDL
CLL
36
17
0
09 Dec 2022
Continual Prune-and-Select: Class-incremental learning with specialized
  subnetworks
Continual Prune-and-Select: Class-incremental learning with specialized subnetworks
Aleksandr Dekhovich
David Tax
M. Sluiter
Miguel A. Bessa
CLL
26
20
0
09 Aug 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental
  Learning
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
Da-Wei Zhou
Qiwen Wang
Han-Jia Ye
De-Chuan Zhan
31
124
0
26 May 2022
Balanced Knowledge Distillation for Long-tailed Learning
Balanced Knowledge Distillation for Long-tailed Learning
Shaoyu Zhang
Chen Chen
Xiyuan Hu
Silong Peng
48
57
0
21 Apr 2021
1