SS-IL: Separated Softmax for Incremental Learning-Reference-Cited by-同舟云学术

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SS-IL: Separated Softmax for Incremental Learning

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Ahn Hongjoon¹,Kwak Jihwan²,Lim Subin³,Bang Hyeonsu¹,Kim Hyojun⁴,Moon Taesup²

Affiliation:

1. Sungkyunkwan University,Department of Artificial Intelligence,Suwon,Korea

2. Seoul National University,Department of Electrical and Computer Engineering,Seoul,Korea

3. Sungkyunkwan University,Department of Computer Engineering,Suwon,Korea

4. Sungkyunkwan University,Department of Electronic and Electrical Engineering,Suwon,Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710553.pdf?arnumber=9710553

Reference35 articles.

1. Lifelong learning with dynamically expandable networks;yoon;International Conference on Learning Representations (ICLR),2018

2. Incremental Learning Using Conditional Adversarial Networks

3. Large Scale Incremental Learning

4. Continual learning with deep generative replay;shin;Advances in Neural Information Processing System (NIPS),2017

5. Maintaining Discrimination and Fairness in Class Incremental Learning

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