Inductive State-Relabeling Adversarial Active Learning With Heuristic Clique Rescaling
Active learning (AL) is to design label-efficient algorithms by labeling the most representative samples. It reduces annotation cost and attracts increasing attention from the community. However, previous AL methods suffer from the inadequacy of annotations and unreliable uncertainty estimation. Mor...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 23. Nov., Seite 9780-9796
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| 1. Verfasser: |
Zhang, Beichen
(VerfasserIn) |
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| Weitere Verfasser: |
Li, Liang,
Wang, Shuhui,
Cai, Shaofei,
Zha, Zheng-Jun,
Tian, Qi,
Huang, Qingming |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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