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Class-incremental Learning via Deep Model Consolidation
v1v2v3v4 (latest)

Class-incremental Learning via Deep Model Consolidation

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
19 March 2019
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
    CLL
ArXiv (abs)PDFHTML

Papers citing "Class-incremental Learning via Deep Model Consolidation"

50 / 188 papers shown
Gene Incremental Learning for Single-Cell Transcriptomics
Gene Incremental Learning for Single-Cell Transcriptomics
Jiaxin Qi
Yan Cui
Jianqiang Huang
Gaogang Xie
CLL
257
0
0
14 Nov 2025
Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
Ayaka Tsutsumi
Guang Li
Ren Togo
Takahiro Ogawa
Satoshi Kondo
Miki Haseyama
104
0
0
28 Aug 2025
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
Yue Duan
Taicai Chen
Lei Qi
Yinghuan Shi
CLL
120
0
0
07 Aug 2025
DPFormer: Dynamic Prompt Transformer for Continual Learning
DPFormer: Dynamic Prompt Transformer for Continual Learning
Sheng-Kai Huang
Jiun-Feng Chang
Chun-Rong Huang
CLL
133
1
0
09 Jun 2025
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detectionIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Jianing Wang
Siying Guo
Zheng Hua
Runhu Huang
Jinyu Hu
Maoguo Gong
260
16
0
17 May 2025
CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection
CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly DetectionIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Jianing Wang
Zheng Hua
Wan Zhang
Shengjia Hao
Yuqiong Yao
Maoguo Gong
BDLCLL
227
4
0
17 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Autoencoder-Based Hybrid Replay for Class-Incremental Learning
Milad Khademi Nori
Il-Min Kim
Guanghui Wang
CLL
449
0
0
09 May 2025
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
350
1
0
07 May 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse
Kun He
Zijian Song
Shuoxi Zhang
John E. Hopcroft
CLL
308
0
0
25 Apr 2025
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition
Muhammad Osama Zeeshan
M. Pedersoli
A. L. Koerich
Eric Grange
290
2
0
05 Apr 2025
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
Sijia Li
Young D. Kwon
Lik-Hang Lee
Pan Hui
294
0
0
31 Mar 2025
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma
Ruiyu Wang
Sen Wang
Wei Ji
Q. Sun
CLLKELM
233
1
0
08 Mar 2025
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental
  Learning
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
324
2
0
17 Dec 2024
Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental LearningNeural Networks (NN), 2024
Zhiming Xu
Steve Yang
Baile Xu
Furao Shen
Jian Zhao
CLL
608
0
0
26 Nov 2024
RECAST: Reparameterized, Compact weight Adaptation for Sequential Tasks
RECAST: Reparameterized, Compact weight Adaptation for Sequential TasksInternational Conference on Learning Representations (ICLR), 2024
Nazia Tasnim
Bryan A. Plummer
CLLOffRL
468
0
0
25 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
282
0
0
03 Nov 2024
Task Confusion and Catastrophic Forgetting in Class-Incremental
  Learning: A Mathematical Framework for Discriminative and Generative
  Modelings
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative ModelingsNeural Information Processing Systems (NeurIPS), 2024
Milad Khademi Nori
Il-Min Kim
CLL
238
4
0
28 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion ModelsInternational Conference on Learning Representations (ICLR), 2024
Saurav Jha
Shiqi Yang
Masato Ishii
Mengjie Zhao
Christian Simon
Muhammad Jehanzeb Mirza
Dong Gong
Lina Yao
Shusuke Takahashi
Yuki Mitsufuji
DiffM
497
2
0
01 Oct 2024
Joint Input and Output Coordination for Class-Incremental Learning
Joint Input and Output Coordination for Class-Incremental LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Shuai Wang
Yibing Zhan
Yong Luo
Han Hu
Wei Yu
Yonggang Wen
Dacheng Tao
CLL
235
3
0
09 Sep 2024
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced
  Continual Large Models
Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models
Jiao Chen
Jiayi He
Fangfang Chen
Zuohong Lv
Jianhua Tang
Weihua Li
Zuozhu Liu
Howard H. Yang
Guangjie Han
AI4CE
278
1
0
02 Sep 2024
Dynamic Object Queries for Transformer-based Incremental Object
  Detection
Dynamic Object Queries for Transformer-based Incremental Object Detection
Jichuan Zhang
Wei Li
Shuang Cheng
Yali Li
Shengjin Wang
235
7
0
31 Jul 2024
Constructing Enhanced Mutual Information for Online Class-Incremental
  Learning
Constructing Enhanced Mutual Information for Online Class-Incremental Learning
Huan Zhang
Fan Lyu
Shenghua Fan
Yujin Zheng
Dingwen Wang
CLL
254
0
0
26 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
314
39
0
19 Jul 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Yu-Ming Tang
Yi-Xing Peng
Jingke Meng
Wei-Shi Zheng
CLL
239
15
0
10 Jul 2024
Mind the Interference: Retaining Pre-trained Knowledge in Parameter
  Efficient Continual Learning of Vision-Language Models
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
Longxiang Tang
Zhuotao Tian
Kai Li
Chunming He
Hantao Zhou
Hengshuang Zhao
Xiu Li
Jiaya Jia
CLLVLM
292
37
0
07 Jul 2024
CCSI: Continual Class-Specific Impression for Data-free Class
  Incremental Learning
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
Sana Ayromlou
Teresa S. M. Tsang
Purang Abolmaesumi
Xiaoxiao Li
CLL
238
7
0
09 Jun 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
246
0
0
05 Jun 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based
  Generative Memory
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
Naibo Wang
Yuchen Deng
Wenjie Feng
Yuxiang Cai
See-Kiong Ng
DiffMFedML
222
2
0
22 May 2024
Densely Distilling Cumulative Knowledge for Continual Learning
Densely Distilling Cumulative Knowledge for Continual Learning
Zenglin Shi
Pei Liu
Tong Su
Yunpeng Wu
Kuien Liu
Yu Song
Meng Wang
CLL
203
1
0
16 May 2024
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental
  Deep Neural Networks
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar
Sonali Agarwal
D. J. Hemanth
224
0
0
11 May 2024
Continual Novel Class Discovery via Feature Enhancement and Adaptation
Continual Novel Class Discovery via Feature Enhancement and Adaptation
Yifan Yu
Shaokun Wang
Yuhang He
Junzhe Chen
Yihong Gong
CLL
282
2
0
10 May 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELMCLLKELM
580
8
0
28 Apr 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
199
5
0
23 Apr 2024
Future-Proofing Class-Incremental Learning
Future-Proofing Class-Incremental LearningMachine Vision and Applications (MVA), 2024
Quentin Jodelet
Xin Liu
Yin Jun Phua
Tsuyoshi Murata
VLM
536
5
0
04 Apr 2024
Continual Learning for Autonomous Robots: A Prototype-based Approach
Continual Learning for Autonomous Robots: A Prototype-based Approach
Elvin Hajizada
Balachandran Swaminathan
Yulia Sandamirskaya
CLL
306
8
0
30 Mar 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang
Haodong Lu
Lina Yao
Dong Gong
KELMCLL
348
26
0
27 Mar 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based
  Class-Incremental Learning
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2024
Da-Wei Zhou
Hai-Long Sun
Han-Jia Ye
De-Chuan Zhan
CLL
267
107
0
18 Mar 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning
  Large Language Models with Instructions
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with InstructionsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Yifan Wang
Yafei Liu
Chufan Shi
Haoling Li
Chen Chen
H. Lu
Yujiu Yang
CLL
260
52
0
18 Mar 2024
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object
  Detection via Vision-Language Model
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim
Yunhoe Ku
Jihyeon Kim
Junuk Cha
Seungryul Baek
ObjDVLM
327
24
0
08 Mar 2024
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing
Lifelong Intelligence Beyond the Edge using Hyperdimensional ComputingInternational Symposium on Information Processing in Sensor Networks (IPSN), 2024
Xiaofan Yu
Anthony Thomas
Ivannia Gomez Moreno
Louis Gutierrez
Tajana Simunic
249
7
0
07 Mar 2024
A novel spatial-frequency domain network for zero-shot incremental
  learning
A novel spatial-frequency domain network for zero-shot incremental learning
Jie Ren
Yang Zhao
Weichuan Zhang
Changming Sun
CLL
144
1
0
11 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
321
13
0
09 Feb 2024
Face to Cartoon Incremental Super-Resolution using Knowledge
  Distillation
Face to Cartoon Incremental Super-Resolution using Knowledge DistillationInternational Conference on Pattern Recognition (ICPR), 2024
Trinetra Devkatte
S. Dubey
Satish Kumar Singh
Abdenour Hadid
CLLCVBMSupR
215
0
0
27 Jan 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck
  Orthogonalization and Equiangular Embedding
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular EmbeddingAAAI Conference on Artificial Intelligence (AAAI), 2024
Depeng Li
Tianqi Wang
Junwei Chen
Qining Ren
Kenji Kawaguchi
Zhigang Zeng
CLL
235
8
0
17 Jan 2024
CEL: A Continual Learning Model for Disease Outbreak Prediction by
  Leveraging Domain Adaptation via Elastic Weight Consolidation
CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight ConsolidationbioRxiv (bioRxiv), 2024
Saba Aslam
Abdur Rasool
Hongyan Wu
Xiaoli Li
189
13
0
17 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of
  Recent Advancements and Future Prospects
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
386
19
0
28 Dec 2023
Multimodal Attention Merging for Improved Speech Recognition and Audio
  Event Classification
Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification
Anirudh S. Sundar
Chao-Han Huck Yang
David M. Chan
Shalini Ghosh
Venkatesh Ravichandran
P. S. Nidadavolu
MoMe
286
12
0
22 Dec 2023
DualTeacher: Bridging Coexistence of Unlabelled Classes for
  Semi-supervised Incremental Object Detection
DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection
Ziqi Yuan
Liyuan Wang
Wenbo Ding
Xingxing Zhang
Jiachen Zhong
Jianyong Ai
Jianmin Li
Jun Zhu
221
0
0
13 Dec 2023
Continual learning for surface defect segmentation by subnetwork
  creation and selection
Continual learning for surface defect segmentation by subnetwork creation and selection
Aleksandr Dekhovich
Miguel A. Bessa
CLL
182
5
0
08 Dec 2023
Efficient Expansion and Gradient Based Task Inference for Replay Free
  Incremental Learning
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Soumya Roy
Vinay Kumar Verma
Deepak Gupta
CLL
339
4
0
02 Dec 2023
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