R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning

24 March 2022

Jian Zhang

Papers citing "R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning"

31 / 31 papers shown

Title
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation Umar Farooq Jean-Yves Guillemaut Adrian Hilton M. Volino 3DGS 61 0 0 18 Mar 2025
EFC++: Elastic Feature Consolidation with Prototype Re-balancing for Cold Start Exemplar-free Incremental Learning Simone Magistri Tomaso Trinci Albin Soutif--Cormerais J. Weijer Andrew D. Bagdanov 45 0 0 13 Mar 2025
WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition Rong Li Tao Deng Siwei Feng He Huang Juncheng Jia Di Yuan Keqin Li 51 0 0 09 Mar 2025
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models Xin Zhang Liang Bai Xian Yang Jiye Liang CLL 63 0 0 25 Feb 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting M. Nori Il Kim Guanghui CLL 60 0 0 26 Jan 2025
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning Min-Yeong Park Jae-Ho Lee Gyeong-Moon Park CLL 26 1 0 17 Sep 2024
AggSS: An Aggregated Self-Supervised Approach for Class-Incremental Learning Jayateja Kalla Soma Biswas SSL 19 0 0 08 Aug 2024
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
Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning Qifan Zhang Yunhui Guo Yu Xiang VLM CLL 54 0 0 18 Jul 2024
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning Xinyuan Gao Songlin Dong Yuhang He Qiang Wang Yihong Gong CLL 24 13 0 14 Jul 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning Sunyuan Qiang Yanyan Liang Jun Wan Du Zhang CLL 33 3 0 14 May 2024
Make Continual Learning Stronger via C-Flat Ang Bian Wei Li Hangjie Yuan Chengrong Yu Zixiang Zhao Mang Wang Aojun Lu Tao Feng 26 8 0 01 Apr 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning Minh-Tuan Tran Trung Le Xuan-May Le Mehrtash Harandi Dinh Q. Phung CLL 27 6 0 21 Mar 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning Da-Wei Zhou Hai-Long Sun Han-Jia Ye De-Chuan Zhan CLL 38 51 0 18 Mar 2024
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models Yu-Chu Yu Chi-Pin Huang Jr-Jen Chen Kai-Po Chang Yung-Hsuan Lai Fu-En Yang Yu-Chiang Frank Wang CLL VLM 34 7 0 14 Mar 2024
Consistent Prompting for Rehearsal-Free Continual Learning Zhanxin Gao Jun Cen Xiaobin Chang VLM CLL 21 24 0 13 Mar 2024
DiffClass: Diffusion-Based Class Incremental Learning Zichong Meng Jie M. Zhang Changdi Yang Zheng Zhan Pu Zhao Yanzhi Wang DiffM CLL 38 14 0 08 Mar 2024
One-stage Prompt-based Continual Learning Youngeun Kim Yuhang Li Priyadarshini Panda VLM CLL 29 4 0 25 Feb 2024
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning Chenyang Wang Junjun Jiang Xingyu Hu Xianming Liu Xiangyang Ji 32 2 0 12 Jan 2024
TLCE: Transfer-Learning Based Classifier Ensembles for Few-Shot Class-Incremental Learning Shuangmei Wang Yang Cao Tieru Wu CLL 10 0 0 07 Dec 2023
Rethinking Client Drift in Federated Learning: A Logit Perspective Yu-bao Yan Chun-Mei Feng Senior Member Ieee Wangmeng Zuo Senior Member Ieee Mang Ye Mong Goh Ping Li Rick Siow Lei Zhu F. I. C. L. Philip Chen FedML 19 8 0 20 Aug 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 69 37 0 30 May 2023
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning Kishaan Jeeveswaran Prashant Bhat Bahram Zonooz Elahe Arani CLL 11 19 0 08 May 2023
On the Effectiveness of Equivariant Regularization for Robust Online Continual Learning Lorenzo Bonicelli Matteo Boschini Emanuele Frascaroli Angelo Porrello M. Pennisi Giovanni Bellitto S. Palazzo C. Spampinato Simone Calderara CLL 24 3 0 05 May 2023
Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features Kenny Song Quan Xia Guoqiang Liang Zhaoji Chen Yanning Zhang CLL 17 6 0 16 Apr 2023
Online Distillation with Continual Learning for Cyclic Domain Shifts Joachim Houyon A. Cioppa Yasir Ghunaim Motasem Alfarra Anaïs Halin Maxim Henry Bernard Ghanem Marc Van Droogenbroeck CLL 22 8 0 03 Apr 2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning Qiankun Gao Chen Zhao Yifan Sun Teng Xi Gang Zhang Bernard Ghanem Jing Zhang CLL 26 87 0 17 Mar 2023
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need Da-Wei Zhou Han-Jia Ye De-Chuan Zhan Ziwei Liu CLL 28 99 0 13 Mar 2023
Real-Time Evaluation in Online Continual Learning: A New Hope Yasir Ghunaim Adel Bibi Kumail Alhamoud Motasem Alfarra Hasan Hammoud Ameya Prabhu Philip H. S. Torr Bernard Ghanem CLL 11 39 0 02 Feb 2023
PIVOT: Prompting for Video Continual Learning Andrés Villa Juan Carlos León Alcázar Motasem Alfarra Kumail Alhamoud J. Hurtado Fabian Caba Heilbron Alvaro Soto Bernard Ghanem VLM CLL 35 44 0 09 Dec 2022
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning James Smith Leonid Karlinsky V. Gutta Paola Cascante-Bonilla Donghyun Kim Assaf Arbelle Rameswar Panda Rogerio Feris Z. Kira CLL VPVLM VLM 24 256 0 23 Nov 2022