Open-Set Semi-Supervised Learning by Distribution Alignment
Author:
Affiliation:
1. Eindhoven University of Technology
2. The Hong Kong University of Science and Technology (Guangzhou)
3. University of Twente
4. Southern University of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650717.pdf?arnumber=10650717
Reference37 articles.
1. Deep Residual Learning for Image Recognition
2. Efficientnet: Rethinking model scaling for convolutional neural networks;Tan
3. Semi-Supervised Learning (Chapelle, O. et al., Eds.; 2006) [Book reviews]
4. Semi-supervised learning by entropy minimization;Grandvalet
5. Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks;Lee
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