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1 Ergebnisse
1
Boosting Low-Data Instance Segmentation by Unsupervised Pre..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Li, Hao
;
Zhang, Dingwen
;
Liu, Nian
... - p. 15485-15494 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.01486
RT T1
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt
UL https://suche.suub.uni-bremen.de/peid=ieee-10203634&Exemplar=1&LAN=DE A1 Li, Hao A1 Zhang, Dingwen A1 Liu, Nian A1 Cheng, Lechao A1 Dai, Yalun A1 Zhang, Chao A1 Wang, Xinggang A1 Han, Junwei YR 2023 SN 2575-7075 K1 Location awareness K1 Visualization K1 Graphical models K1 Shape K1 Training data K1 Pattern recognition K1 Proposals K1 Segmentation K1 grouping and shape analysis SP 15485 OP 15494 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.01486 DO https://doi.org/10.1109/CVPR52729.2023.01486 SF ELIB - SuUB Bremen
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