OpenGAN: Open-Set Recognition via Open Data Generation
Author:
Affiliation:
1. Carnegie Mellon University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710170.pdf?arnumber=9710170
Reference59 articles.
1. Generative probabilistic novelty detection with adversarial autoencoders;pidhorskyi;NeurIPS,2018
2. Deep Transfer Learning for Multiple Class Novelty Detection
3. Open Set Learning with Counterfactual Images
4. Do deep generative models know what they don’t know?;nalisnick,2018
5. A General Framework for Uncertainty Estimation in Deep Learning
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