Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need

13 March 2023

Da-Wei Zhou

Han-Jia Ye

De-Chuan Zhan

Ziwei Liu

CLL

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Papers citing "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need"

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Title
Componential Prompt-Knowledge Alignment for Domain Incremental Learning Kunlun Xu Xu Zou Gang Hua Jiahuan Zhou CLL 80 0 0 07 May 2025
Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay Sriram Mandalika Harsha Vardhan Athira Nambiar VLM 70 0 0 07 May 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 56 0 0 25 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 65 0 0 11 Apr 2025
DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning Songze Li Tonghua Su Xu-Yao Zhang Qixing Xu Zhongjie Wang CLL 38 0 0 09 Apr 2025
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation H. Li Yuecong Xu Junjie Chen Kemi Ding 3DPC CLL 37 0 0 02 Apr 2025
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning J. Guo Xiaoguang Zhu Liangyu Teng Hao Yang J. Liu Y. Liu Liang Song CLL VLM 69 1 0 25 Mar 2025
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning J. Guo Xiaoguang Zhu Xiaoguang Zhu Lianlong Sun Liangyu Teng Y. Liu Di Li Wei Zhou Liang Song CLL VLM 59 1 0 24 Mar 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning Xuan Liu Xiaobin Chang CLL 171 0 0 23 Mar 2025
FeNeC: Enhancing Continual Learning via Feature Clustering with Neighbor- or Logit-Based Classification Kamil Książek Hubert Jastrzębski Bartosz Trojan Krzysztof Pniaczek Michał Karp Jacek Tabor CLL 79 0 0 18 Mar 2025
Order-Robust Class Incremental Learning: Graph-Driven Dynamic Similarity Grouping Guannan Lai Yujie Li Xiangkun Wang J. Zhang Tianrui Li Xin Yang CLL 47 0 0 27 Feb 2025
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models Chiyuan He Zihuan Qiu Fanman Meng Linfeng Xu Q. Wu H. Li VLM CLL KELM 63 0 0 02 Feb 2025
IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition George Karantaidis Athanasios Pantsios Y. Kompatsiaris Symeon Papadopoulos CLL 60 0 0 20 Jan 2025
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning Zhiming Xu S. M. I. Simon X. Yang Baile Xu Jian Zhao F. Shen CLL 81 0 0 26 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 35 0 0 04 Nov 2024
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 73 2 0 01 Oct 2024
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 1 0 23 Sep 2024
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning Yi Yang Lei Zhong Huiping Zhuang 3DPC CLL 36 0 0 18 Sep 2024
Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning Zhi-Hong Qi Da-Wei Zhou Yiran Yao Han-Jia Ye De-Chuan Zhan CLL 45 5 0 11 Sep 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning Hikmat Khan Ghulam Rasool N. Bouaynaya AAML 23 0 0 20 May 2024
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning Sunyuan Qiang Xuxin Lin Yanyan Liang Jun Wan Du Zhang CLL 45 1 0 20 May 2024
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 42 8 0 27 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
Read Between the Layers: Leveraging Multi-Layer Representations for Rehearsal-Free Continual Learning with Pre-Trained Models Kyra Ahrens Hans Hergen Lehmann Jae Hee Lee Stefan Wermter CLL 35 7 0 13 Dec 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation Imad Eddine Marouf Subhankar Roy Enzo Tartaglione Stéphane Lathuilière CLL 16 3 0 17 Oct 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox Hai-Long Sun Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 105 27 0 13 Sep 2023
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 71 37 0 30 May 2023
Preserving Locality in Vision Transformers for Class Incremental Learning Bowen Zheng Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 24 5 0 14 Apr 2023
MaPLe: Multi-modal Prompt Learning Muhammad Uzair Khattak H. Rasheed Muhammad Maaz Salman Khan F. Khan VPVLM VLM 191 531 0 06 Oct 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 146 638 0 26 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 330 2,267 0 02 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 0 29 Apr 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 179 686 0 22 Apr 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 176 175 0 02 Mar 2021