Semantic Drift Compensation for Class-Incremental Learning

1 April 2020

Lu Yu

Bartlomiej Twardowski

Papers citing "Semantic Drift Compensation for Class-Incremental Learning"

50 / 63 papers shown

Title
Prototype Augmented Hypernetworks for Continual Learning Neil De La Fuente Maria Pilligua Daniel Vidal Albin Soutiff Cecilia Curreli Daniel Cremers Andrey Barsky CLL 31 0 0 12 May 2025
Beyond the Horizon: Decoupling UAVs Multi-View Action Recognition via Partial Order Transfer Wenxuan Liu Xian Zhong Zhuo Zhou Songlin Yang Chia-Wen Lin Alex Chichung Kot 32 0 0 29 Apr 2025
LoRA Subtraction for Drift-Resistant Space in Exemplar-Free Continual Learning Xuan Liu Xiaobin Chang CLL 230 0 0 23 Mar 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector Qirui Wu Shizhou Zhang De Cheng Yinghui Xing Di Xu Peng Wang Yanning Zhang ObjD 66 0 0 08 Feb 2025
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Yichen Li Yuying Wang Haozhao Wang Yining Qi Tianzhe Xiao Ruixuan Li 127 0 0 18 Dec 2024
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 88 0 0 26 Nov 2024
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 41 0 0 03 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 76 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
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
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method Kishaan Jeeveswaran Elahe Arani Bahram Zonooz CLL 46 3 0 23 Jun 2024
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning Sunyuan Qiang Xuxin Lin Yanyan Liang Jun Wan Du Zhang CLL 48 1 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
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
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 25 12 0 31 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
Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning Alex Gomez-Villa Bartlomiej Twardowski Kai Wang Joost van de Weijer SSL CLL 33 8 0 12 Sep 2023
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis Xiu-yan Chen Xiaobin Chang CLL 31 0 0 29 Aug 2023
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery Grzegorz Rype'sć Daniel Marczak Sebastian Cygert Tomasz Trzciñski Bartlomiej Twardowski VLM CLL 35 2 0 23 Aug 2023
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers Thomas De Min Massimiliano Mancini Alahari Karteek Xavier Alameda-Pineda Elisa Ricci CLL 29 9 0 18 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Hefei Ling Jianlong Wu Lefei Zhang Zhouchen Lin Philip Torr Dacheng Tao Guohao Li CLL 31 8 0 03 Aug 2023
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts Johannes Jakubik Daniel Weber Patrick Hemmer Michael Vossing G. Satzger 29 2 0 06 Jul 2023
Evolving Knowledge Mining for Class Incremental Segmentation Zhihe Lu Shuicheng Yan Xinchao Wang CLL 41 0 0 03 Jun 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 74 37 0 30 May 2023
Latent Distribution Adjusting for Face Anti-Spoofing Qinghong Sun Zhen-fei Yin Yichao Wu Yuanhan Zhang Jing Shao OOD CVBM 29 0 0 16 May 2023
Exploring Data Geometry for Continual Learning Zhi Gao C. Xu Feng Li Yunde Jia Mehrtash Harandi Yuwei Wu CLL 21 9 0 08 Apr 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning Nader Asadi Mohammad Davar Sudhir Mudur Rahaf Aljundi Eugene Belilovsky CLL 37 35 0 26 Mar 2023
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
ICICLE: Interpretable Class Incremental Continual Learning Dawid Rymarczyk Joost van de Weijer Bartosz Zieliñski Bartlomiej Twardowski CLL 32 28 0 14 Mar 2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains Kevin Thandiackal Luigi Piccinelli Pushpak Pati O. Goksel CLL OOD MedIm 34 7 0 02 Feb 2023
RMM: Reinforced Memory Management for Class-Incremental Learning Yaoyao Liu Bernt Schiele Qianru Sun CLL 31 93 0 14 Jan 2023
Generative appearance replay for continual unsupervised domain adaptation Boqi Chen Kevin Thandiackal Pushpak Pati O. Goksel CLL MedIm 35 11 0 03 Jan 2023
Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning Xialei Liu Jiang-Tian Zhai Andrew D. Bagdanov Ke Li Mingg-Ming Cheng CLL 23 4 0 16 Dec 2022
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 30 112 0 23 Nov 2022
Exemplar-free Continual Learning of Vision Transformers via Gated Class-Attention and Cascaded Feature Drift Compensation Marco Cotogni Fei Yang C. Cusano Andrew D. Bagdanov Joost van de Weijer CLL 30 0 0 22 Nov 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 32 4 0 11 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 56 12 0 11 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection Zhiyuan Zhao Qingjie Liu Yunhong Wang 40 9 0 05 Oct 2022
S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning Yabin Wang Zhiwu Huang Xiaopeng Hong CLL VLM 27 213 0 26 Jul 2022
Towards Diverse Evaluation of Class Incremental Learning: A Representation Learning Perspective Sungmin Cha Jihwan Kwak Dongsub Shim Hyunwoo J. Kim Moontae Lee Honglak Lee Taesup Moon CLL 28 1 0 16 Jun 2022
Transfer without Forgetting Matteo Boschini Lorenzo Bonicelli Angelo Porrello Giovanni Bellitto M. Pennisi S. Palazzo C. Spampinato Simone Calderara CLL 22 46 0 01 Jun 2022
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection Huiping Zhuang Zhenyu Weng Hongxin Wei Renchunzi Xie Kar-Ann Toh Zhiping Lin CLL 30 35 0 30 May 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 29 123 0 26 May 2022
Alleviating Representational Shift for Continual Fine-tuning Shibo Jie Zhi-Hong Deng Ziheng Li CLL 37 11 0 22 Apr 2022
General Incremental Learning with Domain-aware Categorical Representations Jiangwei Xie Shipeng Yan Xuming He OOD CLL 22 38 0 08 Apr 2022
A Closer Look at Rehearsal-Free Continual Learning James Smith Junjiao Tian Shaunak Halbe Yen-Chang Hsu Z. Kira VLM CLL 26 60 0 31 Mar 2022
Unseen Classes at a Later Time? No Problem Hari Chandana Kuchibhotla Sumitra S Malagi Shivam Chandhok V. Balasubramanian CLL 26 10 0 30 Mar 2022
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning Qiankun Gao Chen Zhao Guohao Li Jian Zhang CLL 28 61 0 24 Mar 2022
Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang Jianqiang Xiao Xialei Liu Ying-Cong Chen Mingg-Ming Cheng SSeg CLL 40 93 0 10 Mar 2022
Class-Incremental Continual Learning into the eXtended DER-verse Matteo Boschini Lorenzo Bonicelli Pietro Buzzega Angelo Porrello Simone Calderara CLL BDL 32 128 0 03 Jan 2022