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Class-Incremental Learning with Strong Pre-trained Models

Class-Incremental Learning with Strong Pre-trained Models

7 April 2022
Tz-Ying Wu
Gurumurthy Swaminathan
Zhizhong Li
Avinash Ravichandran
Nuno Vasconcelos
Rahul Bhotika
Stefano Soatto
    CLL
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Papers citing "Class-Incremental Learning with Strong Pre-trained Models"

47 / 47 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
59
0
0
29 Apr 2025
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation
Jingkai Xu
Xiangli Nie
35
0
0
22 Apr 2025
Task-conditioned Ensemble of Expert Models for Continuous Learning
Task-conditioned Ensemble of Expert Models for Continuous Learning
Renu Sharma
Debasmita Pal
Arun Ross
OOD
KELM
162
0
0
11 Apr 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
191
0
0
23 Mar 2025
Slowing Down Forgetting in Continual Learning
Slowing Down Forgetting in Continual Learning
Pascal Janetzky
Tobias Schlagenhauf
Stefan Feuerriegel
CLL
34
0
0
11 Nov 2024
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Budgeted Online Continual Learning by Adaptive Layer Freezing and Frequency-based Sampling
Minhyuk Seo
Hyunseo Koh
Jonghyun Choi
36
1
0
19 Oct 2024
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised
  Class Incremental Learning
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning
Jiaming Liu
Hongyuan Liu
Zhili Qin
Wei Han
Yulu Fan
Qinli Yang
Junming Shao
CLL
54
1
0
19 Aug 2024
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual
  Learning with Pre-training
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling Chen
Yunchao Wei
VLM
CLL
42
2
0
15 Aug 2024
Multi-Site Class-Incremental Learning with Weighted Experts in
  Echocardiography
Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography
Kit M. Bransby
Woo-Jin Cho Kim
Jorge Oliveira
Alex Thorley
A. Beqiri
Alberto Gómez
A. Chartsias
OOD
18
0
0
31 Jul 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
40
11
0
19 Jul 2024
Decision Boundary-aware Knowledge Consolidation Generates Better
  Instance-Incremental Learner
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner
Qiang Nie
Weifu Fu
Yuhuan Lin
Jialin Li
Yifeng Zhou
Yong Liu
Lei Zhu
Chengjie Wang
38
0
0
05 Jun 2024
Harnessing Neural Unit Dynamics for Effective and Scalable
  Class-Incremental Learning
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
Depeng Li
Tianqi Wang
Junwei Chen
Wei Dai
Zhigang Zeng
CLL
41
1
0
04 Jun 2024
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates
An Empirical Analysis of Forgetting in Pre-trained Models with Incremental Low-Rank Updates
Albin Soutif--Cormerais
Simone Magistri
Joost van de Weijer
Andew D. Bagdanov
40
1
0
28 May 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning
Dynamic Feature Learning and Matching for Class-Incremental Learning
Sunyuan Qiang
Yanyan Liang
Jun Wan
Du Zhang
CLL
38
3
0
14 May 2024
MuseumMaker: Continual Style Customization without Catastrophic
  Forgetting
MuseumMaker: Continual Style Customization without Catastrophic Forgetting
Chenxi Liu
Gan Sun
Wenqi Liang
Jiahua Dong
Can Qin
Yang Cong
DiffM
50
3
0
25 Apr 2024
Generative Multi-modal Models are Good Class-Incremental Learners
Generative Multi-modal Models are Good Class-Incremental Learners
Xusheng Cao
Haori Lu
Linlan Huang
Xialei Liu
Ming-Ming Cheng
CLL
49
10
0
27 Mar 2024
Premonition: Using Generative Models to Preempt Future Data Changes in
  Continual Learning
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
Mark D Mcdonnell
Dong Gong
Ehsan Abbasnejad
Anton Van Den Hengel
VLM
DiffM
83
3
0
12 Mar 2024
Few-Shot Class-Incremental Learning with Prior Knowledge
Few-Shot Class-Incremental Learning with Prior Knowledge
Wenhao Jiang
Duo Li
Menghan Hu
Guangtao Zhai
Xiaokang Yang
Xiao-Ping Zhang
CLL
47
1
0
02 Feb 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning
Chenyang Wang
Junjun Jiang
Xingyu Hu
Xianming Liu
Xiangyang Ji
47
2
0
12 Jan 2024
PILoRA: Prototype Guided Incremental LoRA for Federated
  Class-Incremental Learning
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
Haiyang Guo
Fei Zhu
Wenzhuo Liu
Xu-Yao Zhang
Cheng-Lin Liu
CLL
35
6
0
04 Jan 2024
Weighted Ensemble Models Are Strong Continual Learners
Weighted Ensemble Models Are Strong Continual Learners
Imad Eddine Marouf
Subhankar Roy
Enzo Tartaglione
Stéphane Lathuilière
CLL
32
16
0
14 Dec 2023
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial
  Target Data
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
Cheng-Hao Tu
Hong-You Chen
Zheda Mai
Shitian Zhao
Vardaan Pahuja
Tanya Berger-Wolf
Song Gao
Charles V. Stewart
Yu-Chuan Su
Wei-Lun Chao
CLL
36
3
0
02 Nov 2023
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method
  and Application
A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
Bo Yuan
Danpei Zhao
3DV
CLL
38
10
0
22 Oct 2023
Federated Class-Incremental Learning with Prompting
Federated Class-Incremental Learning with Prompting
Jiale Liu
Yu-Wei Zhan
Chong-Yu Zhang
Xin Luo
Zhen-Duo Chen
Yinwei Wei
CLL
FedML
29
2
0
13 Oct 2023
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly
  Supervised Object Localization
FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization
Sejin Park
Taehyung Lee
Yeejin Lee
Byeongkeun Kang
WSOL
CLL
39
4
0
17 Sep 2023
An Analysis of Initial Training Strategies for Exemplar-Free
  Class-Incremental Learning
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
Grégoire Petit
Michael Soumm
Eva Feillet
Adrian Daniel Popescu
Bertrand Delezoide
David Picard
C´eline Hudelot
CLL
31
7
0
22 Aug 2023
RanPAC: Random Projections and Pre-trained Models for Continual Learning
RanPAC: Random Projections and Pre-trained Models for Continual Learning
Mark D Mcdonnell
Dong Gong
Amin Parvaneh
Ehsan Abbasnejad
Anton Van Den Hengel
VLM
CLL
29
95
0
05 Jul 2023
Long-Tailed Continual Learning For Visual Food Recognition
Long-Tailed Continual Learning For Visual Food Recognition
Jiangpeng He
Luotao Lin
Jack Ma
H. Eicher-Miller
F. Zhu
Fengqing M Zhu
59
14
0
01 Jul 2023
Learnability and Algorithm for Continual Learning
Learnability and Algorithm for Continual Learning
Gyuhak Kim
Changnan Xiao
Tatsuya Konishi
Bin Liu
CLL
37
24
0
22 Jun 2023
Complementary Learning Subnetworks for Parameter-Efficient
  Class-Incremental Learning
Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning
Depeng Li
Zhigang Zeng
CLL
27
1
0
21 Jun 2023
IF2Net: Innately Forgetting-Free Networks for Continual Learning
IF2Net: Innately Forgetting-Free Networks for Continual Learning
Depeng Li
Tianqi Wang
Bingrong Xu
Kenji Kawaguchi
Zhigang Zeng
Ponnuthurai Nagaratnam Suganthan
CLL
133
2
0
18 Jun 2023
POP: Prompt Of Prompts for Continual Learning
POP: Prompt Of Prompts for Continual Learning
Zhiyuan Hu
J. Lyu
Dashan Gao
Nuno Vasconcelos
CLL
LRM
VLM
13
5
0
14 Jun 2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It
  Right?
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
Hasan Hammoud
Ameya Prabhu
Ser-Nam Lim
Philip Torr
Adel Bibi
Guohao Li
CLL
111
16
0
16 May 2023
Online Continual Learning Without the Storage Constraint
Online Continual Learning Without the Storage Constraint
Ameya Prabhu
Zhipeng Cai
P. Dokania
Philip Torr
V. Koltun
Ozan Sener
CLL
118
31
0
16 May 2023
Large-scale Pre-trained Models are Surprisingly Strong in Incremental
  Novel Class Discovery
Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery
Mingxuan Liu
Subhankar Roy
Zhun Zhong
N. Sebe
Elisa Ricci
CLL
SSL
37
10
0
28 Mar 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
First Session Adaptation: A Strong Replay-Free Baseline for
  Class-Incremental Learning
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning
A. Panos
Yuriko Kobe
Daniel Olmeda Reino
Rahaf Aljundi
Richard Turner
CLL
103
42
0
23 Mar 2023
Dense Network Expansion for Class Incremental Learning
Dense Network Expansion for Class Incremental Learning
Zhiyuan Hu
Yunsheng Li
J. Lyu
Dashan Gao
Nuno Vasconcelos
CLL
27
42
0
22 Mar 2023
Computationally Budgeted Continual Learning: What Does Matter?
Computationally Budgeted Continual Learning: What Does Matter?
Ameya Prabhu
Hasan Hammoud
P. Dokania
Philip Torr
Ser-Nam Lim
Guohao Li
Adel Bibi
CLL
36
62
0
20 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 Model
Gengwei Zhang
Liyuan Wang
Guoliang Kang
Ling-Hao Chen
Yunchao Wei
CLL
31
106
0
09 Mar 2023
New Insights for the Stability-Plasticity Dilemma in Online Continual
  Learning
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning
Dahuin Jung
Dongjin Lee
Sunwon Hong
Hyemi Jang
Ho Bae
Sungroh Yoon
CLL
31
14
0
17 Feb 2023
No One Left Behind: Real-World Federated Class-Incremental Learning
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
Continual Segment: Towards a Single, Unified and Accessible Continual
  Segmentation Model of 143 Whole-body Organs in CT Scans
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans
Zhanghexuan Ji
Dazhou Guo
Puyang Wang
Ke Yan
Le Lu
...
Qifeng Wang
J. Ge
Mingchen Gao
X. Ye
D. Jin
OOD
21
19
0
01 Feb 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and Application
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELM
CLL
40
601
0
31 Jan 2023
Learning with Style: Continual Semantic Segmentation Across Tasks and
  Domains
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
CLL
VLM
41
5
0
13 Oct 2022
Schedule-Robust Online Continual Learning
Schedule-Robust Online Continual Learning
Ruohan Wang
Marco Ciccone
Giulia Luise
A. Yapp
Massimiliano Pontil
C. Ciliberto
CLL
32
4
0
11 Oct 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
29
122
0
26 May 2022
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