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On Learning the Geodesic Path for Incremental Learning

On Learning the Geodesic Path for Incremental Learning

Computer Vision and Pattern Recognition (CVPR), 2021
17 April 2021
Christian Simon
Piotr Koniusz
Mehrtash Harandi
    CLL
ArXiv (abs)PDFHTML

Papers citing "On Learning the Geodesic Path for Incremental Learning"

50 / 77 papers shown
Pushing the Limits of Distillation-Based Class-Incremental Learning via Lightweight Plugins
Pushing the Limits of Distillation-Based Class-Incremental Learning via Lightweight Plugins
Zhiming Xu
Baile Xu
Jian Zhao
Furao Shen
Suorong Yang
CLL
185
0
0
03 Dec 2025
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
Taehoon Kim
Donghwan Jang
Bohyung Han
CLLMoMe
248
0
0
26 Nov 2025
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning
Jiawei Zhan
Jun Liu
Jinlong Peng
Xiaochen Chen
Bin-Bin Gao
Yong-Jin Liu
Chengjie Wang
CLL
183
0
0
14 Oct 2025
How to Teach Large Multimodal Models New Skills
How to Teach Large Multimodal Models New Skills
Zhen Zhu
Yiming Gong
Yao Xiao
Yaoyao Liu
Derek Hoiem
MLLMCLLKELM
202
0
0
09 Oct 2025
Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
Zihuan Qiu
Yi Xu
Fanman Meng
Runtong Zhang
Linfeng XU
Qingbo Wu
Hongliang Li
CLLVLM
147
0
0
26 Sep 2025
DevFD: Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
DevFD: Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
Tianshuo Zhang
Li Gao
Siran Peng
Xiangyu Zhu
Zhen Lei
213
0
0
23 Sep 2025
Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
Mingxiao Ma
Shunyao Zhu
Guoliang Kang
CLL
89
0
0
15 Aug 2025
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
Yan Wang
Da-Wei Zhou
Han-Jia Ye
CLLMoMe
145
1
0
11 Aug 2025
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
Zechao Sun
Shuying Piao
Weitong Chen
Chang George Dong
Lin Yue
Weitong Chen
Luping Zhou
CLL
326
1
0
01 Jul 2025
Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
Zenghao Guan
Guojun Zhu
Yucan Zhou
Wu Liu
Weiping Wang
Jiebo Luo
Xiaoyan Gu
273
0
0
02 Jun 2025
Flashbacks to Harmonize Stability and Plasticity in Continual Learning
Flashbacks to Harmonize Stability and Plasticity in Continual LearningNeural Networks (NN), 2025
Leila Mahmoodi
Peyman Moghadam
Munawar Hayat
Christian Simon
Mehrtash Harandi
CLLVLMAI4CE
302
2
0
31 May 2025
MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging
MINGLE: Mixture of Null-Space Gated Low-Rank Experts for Test-Time Continual Model Merging
Zihuan Qiu
Yi Xu
Chiyuan He
Fanman Meng
Linfeng Xu
Qi Wu
Hongliang Li
CLLMoMe
431
3
0
17 May 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
314
0
0
11 Apr 2025
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
Beyond Background Shift: Rethinking Instance Replay in Continual Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2025
Hongmei Yin
Tingliang Feng
Fan Lyu
Fanhua Shang
Hongying Liu
Wei Feng
Liang Wan
CLLVLM
290
2
0
28 Mar 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
478
3
0
25 Feb 2025
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
Qirui Wu
Shizhou Zhang
De Cheng
Yinghui Xing
Di Xu
Peng Wang
Yanning Zhang
ObjD
649
3
0
08 Feb 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global ForgettingInternational Conference on Learning Representations (ICLR), 2025
Milad Khademi Nori
Il-Min Kim
Guanghui
CLL
485
5
0
26 Jan 2025
When does a bridge become an aeroplane?
When does a bridge become an aeroplane?
T. Dardeno
L. Bull
N. Dervilis
Keith Worden
226
0
0
27 Nov 2024
Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental Learning
Dual Prototypes for Adaptive Pre-Trained Model in Class-Incremental LearningNeural Networks (NN), 2024
Zhiming Xu
Steve Yang
Baile Xu
Furao Shen
Jian Zhao
CLL
622
0
0
26 Nov 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar SelectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Hossein Resani
B. Nasihatkon
Mohammadreza Alimoradi Jazi
3DPC
311
3
0
12 Sep 2024
Dynamic Object Queries for Transformer-based Incremental Object
  Detection
Dynamic Object Queries for Transformer-based Incremental Object Detection
Jichuan Zhang
Wei Li
Shuang Cheng
Yali Li
Shengjin Wang
236
7
0
31 Jul 2024
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Savitha Ramasamy
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
252
4
0
30 Jul 2024
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental
  Learning
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Tom Fischer
Yaoyao Liu
Artur Jesslen
Noor Ahmed
Prakhar Kaushik
Angtian Wang
Yaoyao Liu
Adam Kortylewski
Eddy Ilg
CLLAI4CE
226
2
0
12 Jul 2024
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view
  Understanding
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
Thanh-Dat Truong
Utsav Prabhu
Dongyi Wang
Bhiksha Raj
Susan Gauch
J. Subbiah
Khoa Luu
365
4
0
03 Jun 2024
Densely Distilling Cumulative Knowledge for Continual Learning
Densely Distilling Cumulative Knowledge for Continual Learning
Zenglin Shi
Pei Liu
Tong Su
Yunpeng Wu
Kuien Liu
Yu Song
Meng Wang
CLL
217
1
0
16 May 2024
Backpropagation-free Network for 3D Test-time Adaptation
Backpropagation-free Network for 3D Test-time Adaptation
Yanshuo Wang
A. Cheraghian
Zeeshan Hayder
Jie Hong
Sameera Ramasinghe
Shafin Rahman
David Ahmedt-Aristizabal
Xuesong Li
Lars Petersson
Mehrtash Harandi
TTA
277
9
0
27 Mar 2024
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
Run He
Huiping Zhuang
Di Fang
Yizhu Chen
Kai Tong
Cen Chen
Lap-Pui Chau
Huiping Zhuang
419
2
0
20 Mar 2024
Expandable Subspace Ensemble for Pre-Trained Model-Based
  Class-Incremental Learning
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2024
Da-Wei Zhou
Hai-Long Sun
Han-Jia Ye
De-Chuan Zhan
CLL
272
107
0
18 Mar 2024
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object
  Detection via Vision-Language Model
VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model
Junsu Kim
Yunhoe Ku
Jihyeon Kim
Junuk Cha
Seungryul Baek
ObjDVLM
334
24
0
08 Mar 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
Jiangpeng He
Fengqing Zhu
CLL
358
39
0
28 Feb 2024
SDDGR: Stable Diffusion-based Deep Generative Replay for Class
  Incremental Object Detection
SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection
Junsu Kim
Hoseong Cho
Jihyeon Kim
Yihalem Yimolal Tiruneh
Seungryul Baek
DiffM
465
47
0
27 Feb 2024
On mitigating stability-plasticity dilemma in CLIP-guided image morphing
  via geodesic distillation loss
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss
Yeongtak Oh
Saehyung Lee
Uiwon Hwang
Sungroh Yoon
193
0
0
19 Jan 2024
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Catastrophic Forgetting in Deep Learning: A Comprehensive TaxonomyJournal of the Brazilian Computer Society (JBCS), 2023
Everton L. Aleixo
J. Colonna
Marco Cristo
Everlandio Fernandes
CLL
272
51
0
16 Dec 2023
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene UnderstandingComputer Vision and Pattern Recognition (CVPR), 2023
Thanh-Dat Truong
Utsav Prabhu
Bhiksha Raj
Jackson Cothren
Khoa Luu
CLL
448
8
0
27 Nov 2023
Online Continual Learning via Logit Adjusted Softmax
Online Continual Learning via Logit Adjusted Softmax
Zhehao Huang
Tao Li
Chenhe Yuan
Yingwen Wu
Xiaolin Huang
CLL
248
3
0
11 Nov 2023
Class Incremental Learning with Pre-trained Vision-Language Models
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
286
18
0
31 Oct 2023
Wakening Past Concepts without Past Data: Class-Incremental Learning
  from Online Placebos
Wakening Past Concepts without Past Data: Class-Incremental Learning from Online PlacebosIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yaoyao Liu
Yingying Li
Bernt Schiele
Qianru Sun
CLLOnRL
226
13
0
24 Oct 2023
Federated Class-Incremental Learning with Prompting
Federated Class-Incremental Learning with PromptingExpert systems with applications (ESWA), 2023
Jiale Liu
Yu-Wei Zhan
Chong-Yu Zhang
Xin Luo
Zhen-Duo Chen
Yinwei Wei
CLLFedML
333
6
0
13 Oct 2023
Multivariate Prototype Representation for Domain-Generalized Incremental
  Learning
Multivariate Prototype Representation for Domain-Generalized Incremental LearningComputer Vision and Image Understanding (CVIU), 2023
Can Peng
Piotr Koniusz
Kai Guo
Brian C. Lovell
Peyman Moghadam
CLLOOD
165
4
0
24 Sep 2023
Rethinking Momentum Knowledge Distillation in Online Continual Learning
Rethinking Momentum Knowledge Distillation in Online Continual LearningInternational Conference on Machine Learning (ICML), 2023
Nicolas Michel
Maorong Wang
L. Xiao
T. Yamasaki
CLL
250
20
0
06 Sep 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for
  Generalized Class Incremental Learning
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
273
0
0
13 Aug 2023
Class Incremental Learning with Self-Supervised Pre-Training and
  Prototype Learning
Class Incremental Learning with Self-Supervised Pre-Training and Prototype LearningPattern Recognition (Pattern Recogn.), 2023
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSLCLL
274
29
0
04 Aug 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental
  Learning and Its Variants
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Jianlong Wu
Haobo Yuan
Hefei Ling
Yue Yu
Lefei Zhang
Zhouchen Lin
Juil Sock
Dacheng Tao
Guohao Li
CLL
389
12
0
03 Aug 2023
FedET: A Communication-Efficient Federated Class-Incremental Learning
  Framework Based on Enhanced Transformer
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced TransformerInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Chenghao Liu
Xiaoyang Qu
Jianzong Wang
Jing Xiao
CLLFedML
178
32
0
27 Jun 2023
Evolving Knowledge Mining for Class Incremental Segmentation
Evolving Knowledge Mining for Class Incremental Segmentation
Zhihe Lu
Shuicheng Yan
Xinchao Wang
CLL
276
0
0
03 Jun 2023
SRIL: Selective Regularization for Class-Incremental Learning
SRIL: Selective Regularization for Class-Incremental LearningAsian Conference on Computer Vision (ACCV), 2023
Jisu Han
Jaemin Na
Wonjun Hwang
CLL
360
0
0
09 May 2023
Taxonomic Class Incremental Learning
Taxonomic Class Incremental Learning
Yuzhao Chen
Zonghua Li
Zhiyuan Hu
Nuno Vasconcelos
CLL
188
3
0
12 Apr 2023
Cross-Class Feature Augmentation for Class Incremental Learning
Cross-Class Feature Augmentation for Class Incremental LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Taehoon Kim
Jaeyoo Park
Bohyung Han
CLL
266
10
0
04 Apr 2023
Preserving Linear Separability in Continual Learning by Backward Feature
  Projection
Preserving Linear Separability in Continual Learning by Backward Feature ProjectionComputer Vision and Pattern Recognition (CVPR), 2023
Qiao Gu
Dongsub Shim
Florian Shkurti
CLLKELM
253
17
0
26 Mar 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
Class-Incremental Exemplar Compression for Class-Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2023
Zilin Luo
Yaoyao Liu
Bernt Schiele
Qianru Sun
VLMCLL
330
66
0
24 Mar 2023
12
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