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Maintaining Discrimination and Fairness in Class Incremental Learning

Maintaining Discrimination and Fairness in Class Incremental Learning

16 November 2019
Bowen Zhao
Xi Xiao
Guojun Gan
Bin Zhang
Shutao Xia
    CLL
ArXiv (abs)PDFHTML

Papers citing "Maintaining Discrimination and Fairness in Class Incremental Learning"

50 / 234 papers shown
Title
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation
Class-Incremental Learning for Honey Botanical Origin Classification with Hyperspectral Images: A Study with Continual Backpropagation
Guyang Zhang
Waleed Abdulla
CLL
120
0
0
12 Jun 2025
Continual Hyperbolic Learning of Instances and Classes
Continual Hyperbolic Learning of Instances and Classes
M. Ayoughi
Mina Ghadimi Atigh
Mohammad Mahdi Derakhshani
Cees G. M. Snoek
Pascal Mettes
Paul T. Groth
CLL
125
0
0
12 Jun 2025
Hierarchical Neural Collapse Detection Transformer for Class Incremental Object Detection
Duc Thanh Pham
Hong Dang Nguyen
Nhat Minh Nguyen Quoc
Linh Ngo Van
Sang Dinh Viet
Duc Anh Nguyen
ViT
49
0
0
10 Jun 2025
DPFormer: Dynamic Prompt Transformer for Continual Learning
DPFormer: Dynamic Prompt Transformer for Continual Learning
Sheng-Kai Huang
Jiun-Feng Chang
Chun-Rong Huang
CLL
17
0
0
09 Jun 2025
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
Juntae Lee
Munawar Hayat
Sungrack Yun
CLL
17
0
0
04 Jun 2025
Flashbacks to Harmonize Stability and Plasticity in Continual Learning
Flashbacks to Harmonize Stability and Plasticity in Continual Learning
Leila Mahmoodi
Peyman Moghadam
Munawar Hayat
Christian Simon
Mehrtash Harandi
CLLVLMAI4CE
37
0
0
31 May 2025
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning
Jiangpeng He
Zhihao Duan
Fengqing M Zhu
CLL
20
1
0
30 May 2025
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Low-Complexity Inference in Continual Learning via Compressed Knowledge Transfer
Zhenrong Liu
Janne M. J. Huttunen
Mikko Honkala
CLL
70
0
0
13 May 2025
Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models
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
CLLVLM
127
0
0
12 May 2025
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning
Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning
Shunjie Wen
Thomas Heinis
Dong-Wan Choi
CLL
87
0
0
29 Apr 2025
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
Chao Qi
Jianqin Yin
Ren Zhang
CLL3DPCVLM
65
0
0
11 Apr 2025
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Boosting the Class-Incremental Learning in 3D Point Clouds via Zero-Collection-Cost Basic Shape Pre-Training
Chao Qi
Jianqin Yin
Meng Chen
Yingchun Niu
Yuan Sun
3DPCCLL
99
0
0
11 Apr 2025
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
Seong-Hyeon Hwang
Minsu Kim
Steven Euijong Whang
67
0
0
28 Mar 2025
Incremental Object Keypoint Learning
Incremental Object Keypoint Learning
Mingfu Liang
Jiahuan Zhou
Xu Zou
Ying Wu
CLL
122
0
0
26 Mar 2025
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
Jiaxin Guo
Xiaoguang Zhu
Liangyu Teng
Hao Yang
Qingbin Liu
Yi Liu
Liang Song
CLLVLM
122
1
0
25 Mar 2025
Do Your Best and Get Enough Rest for Continual Learning
Do Your Best and Get Enough Rest for Continual Learning
Hankyul Kang
Gregor Seifer
Donghyun Lee
Jongbin Ryu
VLM
94
0
0
24 Mar 2025
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
Xusheng Cao
Haori Lu
Linlan Huang
Fei Yang
Xialei Liu
Ming-Ming Cheng
CLLKELM
101
0
0
24 Mar 2025
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Optimized 3D Gaussian Splatting using Coarse-to-Fine Image Frequency Modulation
Umar Farooq
Jean-Yves Guillemaut
Adrian Hilton
M. Volino
3DGS
115
0
0
18 Mar 2025
A New Benchmark for Few-Shot Class-Incremental Learning: Redefining the Upper Bound
Shiwon Kim
Dongjun Hwang
Sungwon Woo
Rita Singh
CLL
125
0
0
13 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
93
1
0
08 Mar 2025
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
Songlin Dong
Yuhang He
Zhengdong Zhou
Haoyu Luo
Xing Wei
Alex C. Kot
Yihong Gong
CLL
113
2
0
01 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing
Xiang Xiang
Zhuo Xu
Yao Deng
Qinhao Zhou
Yifan Liang
Ke Chen
Qingfang Zheng
Yaowei Wang
Xilin Chen
Wen Gao
VLM
138
0
0
28 Feb 2025
Incremental Learning with Repetition via Pseudo-Feature Projection
Incremental Learning with Repetition via Pseudo-Feature Projection
Benedikt Tscheschner
Eduardo Veas
Marc Masana
CLL
76
0
0
27 Feb 2025
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Xin Zhang
Liang Bai
Xian Yang
Jiye Liang
CLL
134
1
0
25 Feb 2025
Towards Robust Incremental Learning under Ambiguous Supervision
Towards Robust Incremental Learning under Ambiguous Supervision
Rui Wang
Mingxuan Xia
Chang Yao
Lei Feng
Junbo Zhao
Gang Chen
Haobo Wang
CLL
436
0
0
23 Jan 2025
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental
  Learning
On Distilling the Displacement Knowledge for Few-Shot Class-Incremental Learning
Pengfei Fang
Yongchun Qin
H. Xue
CLL
125
0
0
15 Dec 2024
Reducing catastrophic forgetting of incremental learning in the absence
  of rehearsal memory with task-specific token
Reducing catastrophic forgetting of incremental learning in the absence of rehearsal memory with task-specific token
Young Jo Choi
Min Kyoon Yoo
Yu Rang Park
59
0
0
06 Nov 2024
Efficient Non-Exemplar Class-Incremental Learning with Retrospective
  Feature Synthesis
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
101
0
0
03 Nov 2024
Class Incremental Learning with Task-Specific Batch Normalization and
  Out-of-Distribution Detection
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
Xuchen Xie
Yiqiao Qiu
Run Lin
Weishi Zheng
Ruixuan Wang
CLL
82
0
0
01 Nov 2024
Hybrid Memory Replay: Blending Real and Distilled Data for Class
  Incremental Learning
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning
Jiangtao Kong
Jiacheng Shi
Ashley Gao
Shaohan Hu
Dinesh Manocha
Huajie Shao
VLMDD
96
1
0
20 Oct 2024
Fair Class-Incremental Learning using Sample Weighting
Fair Class-Incremental Learning using Sample Weighting
Jaeyoung Park
Minsu Kim
Steven Euijong Whang
89
0
0
02 Oct 2024
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning
Da-Wei Zhou
Zi-Wen Cai
Han-Jia Ye
Lijun Zhang
De-Chuan Zhan
CLLAI4CE
194
2
0
01 Oct 2024
Task-recency bias strikes back: Adapting covariances in Exemplar-Free
  Class Incremental Learning
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
Grzegorz Rype'sć
Sebastian Cygert
Tomasz Trzciñski
Bartłomiej Twardowski
99
4
0
26 Sep 2024
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental
  Learning
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
Zhongren Yao
Xiaobin Chang
56
0
0
20 Sep 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias
  Adaptors from a Bi-level Optimization Perspective
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
Quanziang Wang
Renzhen Wang
Yichen Wu
Xixi Jia
Minghao Zhou
Deyu Meng
87
1
0
26 Aug 2024
An Efficient Replay for Class-Incremental Learning with Pre-trained
  Models
An Efficient Replay for Class-Incremental Learning with Pre-trained Models
Weimin Yin
Bin Chen adn Chunzhao Xie
Zhenhao Tan
120
1
0
15 Aug 2024
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
Jichuan Zhang
Yali Li
Xin Liu
Shengjin Wang
DiffM
85
1
0
06 Aug 2024
Distribution-Level Memory Recall for Continual Learning: Preserving
  Knowledge and Avoiding Confusion
Distribution-Level Memory Recall for Continual Learning: Preserving Knowledge and Avoiding Confusion
Shaoxu Cheng
Kanglei Geng
Chiyuan He
Zihuan Qiu
Linfeng Xu
Heqian Qiu
Lanxiao Wang
Qingbo Wu
Fanman Meng
Hongliang Li
CLL
86
0
0
04 Aug 2024
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
Yuanzhi Su
Siyuan Chen
Yuan-Gen Wang
CLL
145
3
0
02 Aug 2024
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu
Hesong Li
Ying Fu
Joost van de Weijer
Bartłomiej Twardowski
Joost van de Weijer
Changsheng Xu
CLL
97
1
0
02 Aug 2024
Early Preparation Pays Off: New Classifier Pre-tuning for Class
  Incremental Semantic Segmentation
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation
Zhengyuan Xie
Haiquan Lu
Jia-Wen Xiao
Enguang Wang
Le Zhang
Xialei Liu
CLL
87
3
0
19 Jul 2024
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Rethinking Few-shot Class-incremental Learning: Learning from Yourself
Yu-Ming Tang
Yi-Xing Peng
Jingke Meng
Wei-Shi Zheng
CLL
96
6
0
10 Jul 2024
MagMax: Leveraging Model Merging for Seamless Continual Learning
MagMax: Leveraging Model Merging for Seamless Continual Learning
Daniel Marczak
Bartłomiej Twardowski
Tomasz Trzciñski
Sebastian Cygert
MoMeCLL
96
24
0
08 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental
  Learning
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning
Wenjun Miao
Guansong Pang
Trong-Tung Nguyen
Ruohang Fang
Jin Zheng
Xiao Bai
OODD
141
3
0
08 Jul 2024
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Guohao Li
Ming-Hsuan Yang
Liqiang Nie
M. Zhang
Mamba
99
6
0
08 Jul 2024
Reflecting on the State of Rehearsal-free Continual Learning with
  Pretrained Models
Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models
Lukas Thede
Karsten Roth
Olivier J. Hénaff
Matthias Bethge
Zeynep Akata
CLL
86
5
0
13 Jun 2024
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Qizao Wang
Xuelin Qian
Bin Li
Xiangyang Xue
96
1
0
30 May 2024
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning
  Perspective
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
Leyuan Wang
Liuyu Xiang
Yunlong Wang
Huijia Wu
Zhaofeng He
CLL
99
0
0
24 May 2024
CLIP model is an Efficient Online Lifelong Learner
CLIP model is an Efficient Online Lifelong Learner
Leyuan Wang
Liuyu Xiang
Yujie Wei
Yunlong Wang
Zhaofeng He
VLMCLL
105
3
0
24 May 2024
Data-Free Federated Class Incremental Learning with Diffusion-Based
  Generative Memory
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory
Naibo Wang
Yuchen Deng
Wenjie Feng
Yuxiang Cai
See-Kiong Ng
DiffMFedML
71
1
0
22 May 2024
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