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Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond

Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond

6 August 2024
Jichuan Zhang
Yali Li
Xin Liu
Shengjin Wang
    DiffM
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Papers citing "Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond"

4 / 4 papers shown
Title
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt
  Representation Drift in Continual Learning
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
KELM
CLL
30
17
0
14 Feb 2023
Learning Fast, Learning Slow: A General Continual Learning Method based
  on Complementary Learning System
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
42
121
0
29 Jan 2022
EEC: Learning to Encode and Regenerate Images for Continual Learning
EEC: Learning to Encode and Regenerate Images for Continual Learning
Ali Ayub
Alan R. Wagner
CLL
29
57
0
13 Jan 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
226
74,467
0
18 May 2015
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