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1 Ergebnisse
1
Semi-supervised Active Learning for Semi-supervised Models:..:
, In:
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Guo, Jiannan
;
Shi, Haochen
;
Kang, Yangyang
... - p. 2876-2885 , 2021
Link:
https://doi.org/10.1109/ICCV48922.2021.00289
RT T1 <cTitle>2021 IEEE/CVF International Conference on Computer Vision (ICCV)</cTitle>: T1 <Title>Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9709988&Exemplar=1&LAN=DE A1 Guo, Jiannan A1 Shi, Haochen A1 Kang, Yangyang A1 Kuang, Kun A1 Tang, Siliang A1 Jiang, Zhuoren A1 Sun, Changlong A1 Wu, Fei A1 Zhuang, Yueting YR 2021 SN 2380-7504 K1 Computer vision K1 Costs K1 Computational modeling K1 Clustering algorithms K1 Semisupervised learning K1 Rendering (computer graphics) K1 Data models K1 Optimization and learning methods; Datasets and evaluation; Machine learning architectures and formulations; Representation learning; Transfer/Low-shot/Semi/Unsupervised Learning SP 2876 OP 2885 LK http://dx.doi.org/https://doi.org/10.1109/ICCV48922.2021.00289 DO https://doi.org/10.1109/ICCV48922.2021.00289 SF ELIB - SuUB Bremen
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