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...
Enregistré dans:
| Auteurs principaux: | , , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
Hindawi Limited
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/e68b43bc908a4b6e9c50c770dd863947 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|