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1 Ergebnisse
1
Towards Fewer Annotations: Active Learning via Region Impur..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Xie, Binhui
;
Yuan, Longhui
;
Li, Shuang
.. - p. 8058-8068 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.00790
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879748&Exemplar=1&LAN=DE A1 Xie, Binhui A1 Yuan, Longhui A1 Li, Shuang A1 Liu, Chi Harold A1 Cheng, Xinjing YR 2022 SN 2575-7075 K1 Image segmentation K1 Adaptation models K1 Uncertainty K1 Annotations K1 Shape K1 Impurities K1 Semantics K1 Transfer/low-shot/long-tail learning; Segmentation K1 grouping and shape analysis SP 8058 OP 8068 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.00790 DO https://doi.org/10.1109/CVPR52688.2022.00790 SF ELIB - SuUB Bremen
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