SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model

9 March 2023

Papers citing "SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model"

32 / 32 papers shown

Title
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
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
Feature Calibration enhanced Parameter Synthesis for CLIP-based Class-incremental Learning J. Guo Xiaoguang Zhu Xiaoguang Zhu Lianlong Sun Liangyu Teng Yang 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 188 0 0 23 Mar 2025
Achieving Upper Bound Accuracy of Joint Training in Continual Learning Saleh Momeni Bing Liu CLL 84 1 0 17 Feb 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector Qirui Wu Shizhou Zhang De-Chun Cheng Yinghui Xing Di Xu Peng Wang Yanning Zhang ObjD 66 0 0 08 Feb 2025
DesCLIP: Robust Continual Adaptation via General Attribute Descriptions for Pretrained Vision-Language Models Chiyuan He Zihuan Qiu Fanman Meng Linfeng Xu Qi Wu Yiming 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 62 0 0 20 Jan 2025
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
Closed-form merging of parameter-efficient modules for Federated Continual Learning Riccardo Salami Pietro Buzzega Matteo Mosconi Jacopo Bonato Luigi Sabetta Simone Calderara FedML MoMe CLL 39 2 0 23 Oct 2024
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection Mingyi Guo Yuyang Liu Zongying Lin Peixi Peng Yonghong Tian Yonghong Tian VLM 30 0 0 08 Oct 2024
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 46 1 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
CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning Emanuele Frascaroli Aniello Panariello Pietro Buzzega Lorenzo Bonicelli Angelo Porrello Simone Calderara VLM CLL 37 3 0 22 Jul 2024
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation Anqi Zhang Guangyu Gao CLL VLM 41 4 0 13 Jul 2024
HiDe-PET: Continual Learning via Hierarchical Decomposition of Parameter-Efficient Tuning Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 47 5 0 07 Jul 2024
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation Bingfeng Zhang Siyue Yu Yunchao Wei Yao Zhao Jimin Xiao VLM 35 8 0 17 Jun 2024
Auto-selected Knowledge Adapters for Lifelong Person Re-identification Xuelin Qian Ruiqi Wu Gong Cheng Junwei Han CLL 52 2 0 29 May 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
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning Huiyi Wang Haodong Lu Lina Yao Dong Gong KELM CLL 48 8 0 27 Mar 2024
Continual Segmentation with Disentangled Objectness Learning and Class Recognition Yizheng Gong Siyue Yu Xiaoyang Wang Jimin Xiao CLL 30 5 0 06 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
Towards a General Framework for Continual Learning with Pre-training Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 31 3 0 21 Oct 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
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation Zekang Zhang Guangyu Gao Jianbo Jiao C. Liu Yunchao Wei 48 21 0 10 Oct 2023
PILOT: A Pre-Trained Model-Based Continual Learning Toolbox Hai-Long Sun Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 108 27 0 13 Sep 2023
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
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,443 0 11 Nov 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 181 687 0 22 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021