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Knowledge Capture and Replay for Continual Learning
v1v2 (latest)

Knowledge Capture and Replay for Continual Learning

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
12 December 2020
Saisubramaniam Gopalakrishnan
Pranshu Ranjan Singh
Haytham M. Fayek
Savitha Ramasamy
Arulmurugan Ambikapathi
    CLL
ArXiv (abs)PDFHTML

Papers citing "Knowledge Capture and Replay for Continual Learning"

6 / 6 papers shown
Continual learning via probabilistic exchangeable sequence modelling
Continual learning via probabilistic exchangeable sequence modelling
Hanwen Xing
Christopher Yau
CLLBDL
343
0
0
26 Mar 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with PrototypesComputer Vision and Pattern Recognition (CVPR), 2025
Patrick Rim
Hyoungseob Park
Xien Chen
Ziyao Zeng
Younjoon Chung
Alex Wong
CLLMDE
393
8
0
17 Mar 2025
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Yi Yang
Lei Zhong
Huiping Zhuang
3DPCCLL
420
0
0
18 Sep 2024
Looking through the past: better knowledge retention for generative
  replay in continual learning
Looking through the past: better knowledge retention for generative replay in continual learning
Valeriya Khan
Sebastian Cygert
Kamil Deja
Tomasz Trzciñski
Bartlomiej Twardowski
279
9
0
18 Sep 2023
A Comprehensive Survey of Continual Learning: Theory, Method and
  Application
A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Liyuan Wang
Xingxing Zhang
Hang Su
Jun Zhu
KELMCLL
923
1,250
0
31 Jan 2023
Robust Continual Learning through a Comprehensively Progressive Bayesian
  Neural Network
Robust Continual Learning through a Comprehensively Progressive Bayesian Neural Network
Guo Yang
C. Wong
Savitha Ramasamy
CLL
280
3
0
27 Feb 2022
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