Class-incremental learning: survey and performance evaluation on image classification

28 October 2020

Marc Masana

Xialei Liu

Bartlomiej Twardowski

Papers citing "Class-incremental learning: survey and performance evaluation on image classification"

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Title
CL-BioGAN: Biologically-Inspired Cross-Domain Continual Learning for Hyperspectral Anomaly Detection Jianing Wang Zheng Hua Wan Zhang Shengjia Hao Yuqiong Yao Maoguo Gong BDL CLL 2 0 0 17 May 2025
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 Songlin Dong Chenhao Ding Jiangyang Li Jizhou Han Qiang Wang Yuhang He Yihong Gong CLL VLM 40 0 0 12 May 2025
Autoencoder-Based Hybrid Replay for Class-Incremental Learning Milad Khademi Nori Il Kim Guanghui Wang CLL 50 0 0 09 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
Learning and Transferring Physical Models through Derivatives Alessandro Trenta Andrea Cossu Davide Bacciu AI4CE 39 0 0 02 May 2025
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning Renye Zhang Yimin Yin Jinghua Zhang CLL 59 0 0 29 Apr 2025
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning Linhao Li Yongzhang Tan Siyuan Yang Hao Cheng Yongfeng Dong Liang Yang CLL 47 0 0 15 Apr 2025
Continual Multimodal Contrastive Learning Xiaohao Liu Xiaobo Xia See-Kiong Ng Tat-Seng Chua CLL 57 0 0 19 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
Lifelong Learning with Task-Specific Adaptation: Addressing the Stability-Plasticity Dilemma Ruiyu Wang Sen Wang Wei Ji Q. Sun CLL KELM 65 0 0 08 Mar 2025
Sequence Transferability and Task Order Selection in Continual Learning T. Nguyen Cuong N. Nguyen Quang-Cuong Pham B. T. Nguyen Savitha Ramasamy Xiaoli Li Cuong V Nguyen 80 0 0 10 Feb 2025
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges Guangjin Pan Yuan Gao Yilin Gao Zhiyong Zhong Xiaoyu Yang Xinyu Guo Shugong Xu 48 1 0 28 Jan 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting Milad Khademi Nori Il Kim Guanghui CLL 70 1 0 26 Jan 2025
Human Activity Recognition in an Open World D. Prijatelj Samuel Grieggs Jin Huang Dawei Du Ameya Shringi Christopher Funk Adam Kaufman Eric Robertson Walter J. Scheirer University of Notre Dame 72 3 0 17 Jan 2025
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 81 0 0 26 Nov 2024
Adaptive Body Schema Learning System Considering Additional Muscles for Musculoskeletal Humanoids Kento Kawaharazuka Akihiro Miki Yasunori Toshimitsu Kei Okada Masayuki Inaba 3DH 46 5 0 10 Nov 2024
Masked Autoencoders are Parameter-Efficient Federated Continual Learners Yuchen He Xiangfeng Wang CLL FedML 40 0 0 04 Nov 2024
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework Yuchen He Chuyun Shen Xiangfeng Wang Bo Jin FedML 32 1 0 04 Nov 2024
Not Just Object, But State: Compositional Incremental Learning without Forgetting Yanyi Zhang Binglin Qiu Qi Jia Yu Liu Ran He CLL 42 0 0 04 Nov 2024
Assessing Open-world Forgetting in Generative Image Model Customization Héctor Laria Alex Gomez-Villa Imad Eddine Marouf Bogdan Raducanu Bogdan Raducanu VLM DiffM 37 0 0 18 Oct 2024
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey Dianzhi Yu Xinni Zhang Yankai Chen Aiwei Liu Yifei Zhang Philip S. Yu Irwin King VLM CLL 44 9 0 07 Oct 2024
Where are we in audio deepfake detection? A systematic analysis over generative and detection models Xiang Li Pin-Yu Chen Wenqi Wei 41 3 0 06 Oct 2024
Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models Saurav Jha Shiqi Yang Masato Ishii Mengjie Zhao Christian Simon Muhammad Jehanzeb Mirza Dong Gong Lina Yao Shusuke Takahashi Yuki Mitsufuji DiffM 67 2 0 01 Oct 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 76 2 0 01 Oct 2024
Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Cuiwei Liu Siang Xu Huaijun Qiu Jing Zhang Zhi Liu Liang Zhao CLL 34 0 0 18 Sep 2024
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning Yi Yang Lei Zhong Huiping Zhuang 3DPC CLL 42 0 0 18 Sep 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection Hossein Resani B. Nasihatkon Mohammadreza Alimoradi Jazi 3DPC 38 2 0 12 Sep 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning Lu Yu Hesong Li Ying Fu Joost van de Weijer Changsheng Xu CLL 55 1 0 02 Aug 2024
Parameter-Efficient Fine-Tuning for Continual Learning: A Neural Tangent Kernel Perspective Jingren Liu Zhong Ji YunLong Yu Jiale Cao Yanwei Pang Jungong Han Xuelong Li CLL 42 5 0 24 Jul 2024
Personalized Federated Continual Learning via Multi-granularity Prompt Hao Yu Xin Yang Xin Gao Yan Kang Hao Wang Junbo Zhang Tianrui Li CLL 57 6 0 27 Jun 2024
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method Kishaan Jeeveswaran Elahe Arani Bahram Zonooz CLL 46 3 0 23 Jun 2024
Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning Hikmat Khan Ghulam Rasool N. Bouaynaya AAML 28 0 0 20 May 2024
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
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
Toward industrial use of continual learning : new metrics proposal for class incremental learning Mohamed Abbas Konaté A. Yao T. Chateau P. Bouges CLL 24 0 0 10 Apr 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning Shambhavi Mishra Balamurali Murugesan Ismail Ben Ayed M. Pedersoli Jose Dolz 48 2 0 22 Mar 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature Richness Jaeill Kim Wonseok Lee Moonjung Eo Wonjong Rhee CLL 44 0 0 22 Mar 2024
Hyperparameters in Continual Learning: A Reality Check Sungmin Cha Kyunghyun Cho CLL 71 2 0 14 Mar 2024
Predictive Churn with the Set of Good Models J. Watson-Daniels Flavio du Pin Calmon Alexander DÁmour Carol Xuan Long David C. Parkes Berk Ustun 83 7 0 12 Feb 2024
Taking Class Imbalance Into Account in Open Set Recognition Evaluation Joanna Komorniczak Pawel Ksieniewicz 25 0 0 09 Feb 2024
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic Surgery Mengya Xu Mobarakol Islam Long Bai Hongliang Ren 30 5 0 08 Feb 2024
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
Benchmarking Continual Learning from Cognitive Perspectives Xiaoqian Liu Junge Zhang Mingyi Zhang Peipei Yang 21 0 0 06 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection Xiaohu Lu H. Radha AAML 3DPC 39 0 0 05 Dec 2023
Density Distribution-based Learning Framework for Addressing Online Continual Learning Challenges Shilin Zhang Jiahui Wang CLL 32 0 0 22 Nov 2023
What Can AutoML Do For Continual Learning? Mert Kilickaya Joaquin Vanschoren 30 1 0 20 Nov 2023
Continual Learning: Applications and the Road Forward Eli Verwimp Rahaf Aljundi Shai Ben-David Matthias Bethge Andrea Cossu ... Joost van de Weijer Bing Liu Vincenzo Lomonaco Tinne Tuytelaars Gido M. van de Ven CLL 43 45 0 20 Nov 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 29 3 0 17 Oct 2023
Continual Generalized Intent Discovery: Marching Towards Dynamic and Open-world Intent Recognition Xiaoshuai Song Yutao Mou Keqing He Yueyan Qiu Pei Wang Weiran Xu 25 2 0 16 Oct 2023