Redundancy Removal Adversarial Active Learning Based on Norm Online Uncertainty Indicator
Active learning aims to select the most valuable unlabelled samples for annotation. In this paper, we propose a redundancy removal adversarial active learning (RRAAL) method based on norm online uncertainty indicator, which selects samples based on their distribution, uncertainty, and redundancy. RR...
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| Main Authors: | , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
Hindawi Limited
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/e68b43bc908a4b6e9c50c770dd863947 |
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