Self-Supervised Learning Using Noisy-Latent Augmentation-Reference-Cited by-同舟云学术

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Self-Supervised Learning Using Noisy-Latent Augmentation

Published:2023-10-01 Issue: Volume:abs/1602.02644 Page:4170-4175
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Khosrowshahli Rasa¹,Rahnamayan Shahryar²,Bidgoli Azam Asilian³,Makrehchi Masoud⁴

Affiliation:

1. Ontario Tech University,Nature-Inspired Computational Intelligence (NICI) Lab,Department of Electrical, Computer, and Software Engineering,Oshawa,ON,Canada

2. Brock University,Nature-Inspired Computational Intelligence (NICI) Lab,Engineering Department,St. Catharines,ON,Canada

3. Wilfrid Laurier University,Nature-Inspired Computational Intelligence (NICI) Lab, Faculty of Science,Waterloo,ON,Canada

4. Ontario Tech University,Department of Electrical, Computer, and Software Engineering,Oshawa,ON,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394370.pdf?arnumber=10394370

Reference25 articles.

1. Semi-Supervised Self-Training of Object Detection Models

2. Self-supervised Learning: Generative or Contrastive

3. A Survey on Contrastive Self-Supervised Learning

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