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On Learning the Geodesic Path for Incremental Learning

On Learning the Geodesic Path for Incremental Learning

17 April 2021
Christian Simon
Piotr Koniusz
Mehrtash Harandi
    CLL
ArXivPDFHTML

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

27 / 27 papers shown
Title
Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector
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
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 Forgetting
Milad Khademi Nori
Il Kim
Guanghui
CLL
70
1
0
26 Jan 2025
Integrating Dual Prototypes for Task-Wise Adaption in Pre-Trained Model-Based Class-Incremental Learning
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
81
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 Selection
Hossein Resani
B. Nasihatkon
Mohammadreza Alimoradi Jazi
3DPC
38
2
0
12 Sep 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
43
20
0
27 Feb 2024
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
Thanh-Dat Truong
Utsav Prabhu
Bhiksha Raj
Jackson Cothren
Khoa Luu
CLL
37
3
0
27 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
17
12
0
31 Oct 2023
Federated Class-Incremental Learning with Prompting
Federated Class-Incremental Learning with Prompting
Jiale Liu
Yu-Wei Zhan
Chong-Yu Zhang
Xin Luo
Zhen-Duo Chen
Yinwei Wei
CLL
FedML
26
2
0
13 Oct 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
27
0
0
13 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
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
Evolving Knowledge Mining for Class Incremental Segmentation
Evolving Knowledge Mining for Class Incremental Segmentation
Zhihe Lu
Shuicheng Yan
Xinchao Wang
CLL
36
0
0
03 Jun 2023
SRIL: Selective Regularization for Class-Incremental Learning
SRIL: Selective Regularization for Class-Incremental Learning
Jisu Han
Jaemin Na
Wonjun Hwang
CLL
10
0
0
09 May 2023
Event-guided Multi-patch Network with Self-supervision for Non-uniform
  Motion Deblurring
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring
Hongguang Zhang
Limeng Zhang
Yuchao Dai
Hongdong Li
Piotr Koniusz
29
18
0
14 Feb 2023
RMM: Reinforced Memory Management for Class-Incremental Learning
RMM: Reinforced Memory Management for Class-Incremental Learning
Yaoyao Liu
Bernt Schiele
Qianru Sun
CLL
21
92
0
14 Jan 2023
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Don't Stop Learning: Towards Continual Learning for the CLIP Model
Yuxuan Ding
Lingqiao Liu
Chunna Tian
Jingyuan Yang
Haoxuan Ding
CLL
VLM
KELM
24
51
0
19 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
23
2
0
14 Jul 2022
Multi-Granularity Regularized Re-Balancing for Class Incremental
  Learning
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning
Huitong Chen
Yu Wang
Q. Hu
CLL
27
16
0
30 Jun 2022
General Incremental Learning with Domain-aware Categorical
  Representations
General Incremental Learning with Domain-aware Categorical Representations
Jiangwei Xie
Shipeng Yan
Xuming He
OOD
CLL
19
38
0
08 Apr 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive
  Feature Consolidation
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation
Minsoo Kang
Jaeyoo Park
Bohyung Han
CLL
27
179
0
02 Apr 2022
Federated Class-Incremental Learning
Federated Class-Incremental Learning
Jiahua Dong
Lixu Wang
Zhen Fang
Gan Sun
Shichao Xu
Tianlin Li
Qi Zhu
CLL
FedML
27
168
0
22 Mar 2022
Representation Compensation Networks for Continual Semantic Segmentation
Representation Compensation Networks for Continual Semantic Segmentation
Chang-Bin Zhang
Jianqiang Xiao
Xialei Liu
Ying-Cong Chen
Mingg-Ming Cheng
SSeg
CLL
37
93
0
10 Mar 2022
InCloud: Incremental Learning for Point Cloud Place Recognition
InCloud: Incremental Learning for Point Cloud Place Recognition
Joshua Knights
Peyman Moghadam
Milad Ramezani
Sridha Sridharan
Clinton Fookes
3DPC
25
27
0
02 Mar 2022
Recent Advances of Continual Learning in Computer Vision: An Overview
Recent Advances of Continual Learning in Computer Vision: An Overview
Haoxuan Qu
Hossein Rahmani
Li Xu
Bryan M. Williams
Jun Liu
VLM
CLL
25
73
0
23 Sep 2021
Complementary Calibration: Boosting General Continual Learning with
  Collaborative Distillation and Self-Supervision
Complementary Calibration: Boosting General Continual Learning with Collaborative Distillation and Self-Supervision
Zhong Ji
Jin Li
Qiang Wang
Zhongfei Zhang
CLL
25
18
0
03 Sep 2021
Balanced softmax cross-entropy for incremental learning with and without
  memory
Balanced softmax cross-entropy for incremental learning with and without memory
Quentin Jodelet
Xin Liu
T. Murata
CLL
22
25
0
23 Mar 2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental
  Learning
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
A. Cheraghian
Shafin Rahman
Pengfei Fang
S. Roy
L. Petersson
Mehrtash Harandi
CLL
33
183
0
06 Mar 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
359
11,684
0
09 Mar 2017
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