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CalFuse: Feature Calibration Enhanced Parameter Fusion for Class-Continual Learning
v1v2v3v4 (latest)

CalFuse: Feature Calibration Enhanced Parameter Fusion for Class-Continual Learning

1 July 2025
Jiaxin Guo
Xiaoguang Zhu
Xiaoguang Zhu
Lianlong Sun
Liangyu Teng
Zehua Wang
Di Li
Wei Zhou
Liang Song
Wei Zhou
Liang Song
    CLLVLM
ArXiv (abs)PDFHTML

Papers citing "CalFuse: Feature Calibration Enhanced Parameter Fusion for Class-Continual Learning"

44 / 44 papers shown
Title
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Jiaxin Guo
Xiaoguang Zhu
Liangyu Teng
Hao Yang
Qingbin Liu
Yi Liu
Liang Song
CLLVLM
221
2
0
25 Mar 2025
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions
DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against CorruptionsAAAI Conference on Artificial Intelligence (AAAI), 2024
Jingyu Zhang
Yilei Wang
Lang Qian
Yang Liu
Zengwen Li
Sudong Jiang
Maolin Liu
Liang Song
364
3
0
14 Dec 2024
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment
  and Parameter Fusion
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang
Xusheng Cao
Haori Lu
Xialei Liu
CLL
294
38
0
19 Jul 2024
Networking Systems for Video Anomaly Detection: A Tutorial and Survey
Networking Systems for Video Anomaly Detection: A Tutorial and SurveyACM Computing Surveys (ACM CSUR), 2024
Jing Liu
Yang Liu
Jieyu Lin
Jielin Li
Yang Liu
Bo Hu
Liang Song
Peng Sun
Victor C.M. Leung
Victor C.M. Leung
527
30
0
16 May 2024
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar
  Class-Incremental Learning
CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning
Xinyuan Gao
Songlin Dong
Yuhang He
Xing Wei
Yihong Gong
CLL
235
6
0
11 Mar 2024
Class Incremental Learning with Pre-trained Vision-Language Models
Class Incremental Learning with Pre-trained Vision-Language Models
Xialei Liu
Xusheng Cao
Haori Lu
Jia-Wen Xiao
Andrew D. Bagdanov
Ming-Ming Cheng
VLM
264
18
0
31 Oct 2023
Learning without Forgetting for Vision-Language Models
Learning without Forgetting for Vision-Language ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Da-Wei Zhou
Yuanhan Zhang
Jingyi Ning
Jingyi Ning
De-Chuan Zhan
De-Chuan Zhan
Ziwei Liu
VLMCLL
350
71
0
30 May 2023
Visual-Language Prompt Tuning with Knowledge-guided Context Optimization
Visual-Language Prompt Tuning with Knowledge-guided Context OptimizationComputer Vision and Pattern Recognition (CVPR), 2023
Hantao Yao
Rui Zhang
Changsheng Xu
VLMVPVLM
458
350
0
23 Mar 2023
Dense Network Expansion for Class Incremental Learning
Dense Network Expansion for Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2023
Zhiyuan Hu
Yunsheng Li
J. Lyu
Dashan Gao
Nuno Vasconcelos
CLL
223
61
0
22 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You NeedInternational Journal of Computer Vision (IJCV), 2023
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
Ziwei Liu
CLL
226
161
0
13 Mar 2023
Preventing Zero-Shot Transfer Degradation in Continual Learning of
  Vision-Language Models
Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language ModelsIEEE International Conference on Computer Vision (ICCV), 2023
Zangwei Zheng
Mingyu Ma
Kai Wang
Ziheng Qin
Xiangyu Yue
Yang You
CLLVLM
391
101
0
12 Mar 2023
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a
  Pre-trained Model
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained ModelIEEE International Conference on Computer Vision (ICCV), 2023
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling-Hao Chen
Yunchao Wei
CLL
350
163
0
09 Mar 2023
CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial
  Expression Recognition
CLIPER: A Unified Vision-Language Framework for In-the-Wild Facial Expression RecognitionIEEE International Conference on Multimedia and Expo (ICME), 2023
Hanting Li
Hongjing Niu
Zhaoqing Zhu
Feng Zhao
VLMCLIP
153
47
0
01 Mar 2023
New Insights on Relieving Task-Recency Bias for Online Class Incremental
  Learning
New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning
Guoqiang Liang
Zhaojie Chen
Zhaoqiang Chen
Shiyu Ji
Yanning Zhang
CLL
199
12
0
16 Feb 2023
Generalized Video Anomaly Event Detection: Systematic Taxonomy and
  Comparison of Deep Models
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep ModelsACM Computing Surveys (ACM Comput. Surv.), 2023
Zehua Wang
Dingkang Yang
Yan Wang
Jing Liu
Jun Liu
Peng Sun
Yang Liu
Liang Song
409
135
0
10 Feb 2023
CODA-Prompt: COntinual Decomposed Attention-based Prompting for
  Rehearsal-Free Continual Learning
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual LearningComputer Vision and Pattern Recognition (CVPR), 2022
James Smith
Leonid Karlinsky
V. Gutta
Paola Cascante-Bonilla
Donghyun Kim
Assaf Arbelle
Yikang Shen
Rogerio Feris
Z. Kira
CLLVPVLMVLM
324
432
0
23 Nov 2022
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt LearningComputer Vision and Pattern Recognition (CVPR), 2022
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
Fahad Shahbaz Khan
VPVLMVLM
661
851
0
06 Oct 2022
CLIP model is an Efficient Continual Learner
CLIP model is an Efficient Continual Learner
Vishal Thengane
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
BDLVLMCLL
269
65
0
06 Oct 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental LearningNeural Information Processing Systems (NeurIPS), 2022
Yabin Wang
Zhiwu Huang
Xiaopeng Hong
CLLVLM
432
294
0
26 Jul 2022
DualPrompt: Complementary Prompting for Rehearsal-free Continual
  Learning
DualPrompt: Complementary Prompting for Rehearsal-free Continual LearningEuropean Conference on Computer Vision (ECCV), 2022
Zifeng Wang
Zizhao Zhang
Sayna Ebrahimi
Ruoxi Sun
Han Zhang
...
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVLMVPVLM
330
667
0
10 Apr 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive
  Feature Consolidation
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature ConsolidationComputer Vision and Pattern Recognition (CVPR), 2022
Minsoo Kang
Jaeyoo Park
Bohyung Han
CLL
199
226
0
02 Apr 2022
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVPVLMKELMVLM
347
1,037
0
16 Dec 2021
Florence: A New Foundation Model for Computer Vision
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
377
1,041
0
22 Nov 2021
Co-Transport for Class-Incremental Learning
Co-Transport for Class-Incremental LearningACM Multimedia (ACM MM), 2021
Da-Wei Zhou
Han-Jia Ye
De-Chuan Zhan
CLL
232
89
0
27 Jul 2021
Layerwise Optimization by Gradient Decomposition for Continual Learning
Layerwise Optimization by Gradient Decomposition for Continual LearningComputer Vision and Pattern Recognition (CVPR), 2021
Weizhen He
Dapeng Chen
Jinguo Zhu
Shijie Yu
Wanli Ouyang
CLL
187
80
0
17 May 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Rainbow Memory: Continual Learning with a Memory of Diverse SamplesComputer Vision and Pattern Recognition (CVPR), 2021
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
Jonghyun Choi
CLL
260
416
0
31 Mar 2021
DER: Dynamically Expandable Representation for Class Incremental
  Learning
DER: Dynamically Expandable Representation for Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2021
Shipeng Yan
Jiangwei Xie
Xuming He
CLL
231
566
0
31 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
2.0K
40,402
0
26 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionInternational Conference on Machine Learning (ICML), 2021
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLMCLIP
1.3K
4,818
0
11 Feb 2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for
  Semi-supervised Continual Learning
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual LearningComputer Vision and Pattern Recognition (CVPR), 2021
Liyuan Wang
Kuo Yang
Chongxuan Li
Lanqing Hong
Zhenguo Li
Jun Zhu
CLLBDL
169
100
0
02 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.3K
54,036
0
22 Oct 2020
Continual Prototype Evolution: Learning Online from Non-Stationary Data
  Streams
Continual Prototype Evolution: Learning Online from Non-Stationary Data StreamsIEEE International Conference on Computer Vision (ICCV), 2020
Matthias De Lange
Tinne Tuytelaars
CLL
445
241
0
02 Sep 2020
Memory Efficient Class-Incremental Learning for Image Classification
Memory Efficient Class-Incremental Learning for Image Classification
Hanbin Zhao
Haibo Wang
Yongjian Fu
Leilei Gan
Xi Li
CLLVLM
235
98
0
04 Aug 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot
  Class-Incremental Learning
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
467
132
0
28 Jun 2020
Continual Learning with Extended Kronecker-factored Approximate
  Curvature
Continual Learning with Extended Kronecker-factored Approximate CurvatureComputer Vision and Pattern Recognition (CVPR), 2020
Janghyeon Lee
H. Hong
Donggyu Joo
Junmo Kim
CLL
191
66
0
16 Apr 2020
Mnemonics Training: Multi-Class Incremental Learning without Forgetting
Mnemonics Training: Multi-Class Incremental Learning without ForgettingComputer Vision and Pattern Recognition (CVPR), 2020
Yaoyao Liu
Yuting Su
Anan Liu
Bernt Schiele
Qianru Sun
CLL
269
377
0
24 Feb 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA
Unified Vision-Language Pre-Training for Image Captioning and VQAAAAI Conference on Artificial Intelligence (AAAI), 2019
Luowei Zhou
Hamid Palangi
Lei Zhang
Houdong Hu
Jason J. Corso
Jianfeng Gao
MLLMVLM
613
1,005
0
24 Sep 2019
Large Scale Incremental Learning
Large Scale Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2019
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
277
1,407
0
30 May 2019
Learn to Grow: A Continual Structure Learning Framework for Overcoming
  Catastrophic Forgetting
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li
Yingbo Zhou
Tianfu Wu
R. Socher
Caiming Xiong
CLL
444
486
0
31 Mar 2019
Continual Learning of Context-dependent Processing in Neural Networks
Continual Learning of Context-dependent Processing in Neural Networks
Guanxiong Zeng
Yang Chen
Bo Cui
Shan Yu
CLL
283
351
0
29 Sep 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and
  Intransigence
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry
P. Dokania
Thalaiyasingam Ajanthan
Juil Sock
CLL
526
1,285
0
30 Jan 2018
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLLOOD
598
4,297
0
23 Nov 2016
Learning without Forgetting
Learning without ForgettingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
Zhizhong Li
Derek Hoiem
CLLOODSSL
999
5,048
0
29 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.6K
215,422
0
10 Dec 2015
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