Class-Incremental Learning using Diffusion Model for Distillation and Replay-Reference-Cited by-同舟云学术

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Class-Incremental Learning using Diffusion Model for Distillation and Replay

Published:2023-10-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
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Author:

Jodelet Quentin¹,Liu Xin²,Phua Yin Jun¹,Murata Tsuyoshi¹

Affiliation:

1. Tokyo Institute of Technology,Department of Computer Science,Japan

2. AIST,Artificial Intelligence Research Center,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350542.pdf?arnumber=10350542

Reference38 articles.

1. SS-IL: Separated Softmax for Incremental Learning

2. This Dataset Does Not Exist: Training Models from Generated Images

3. End-to-End Incremental Learning

4. AutoAugment: Learning Augmentation Strategies From Data

5. PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Onboard Class Incremental Learning for Resource-Constrained scenarios using Genetic Algorithm and TinyML;Proceedings of the Genetic and Evolutionary Computation Conference Companion;2024-07-14

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