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1 Ergebnisse
1
Undoing the Damage of Label Shift for Cross-domain Semantic..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Liu, Yahao
;
Deng, Jinhong
;
Tao, Jiale
... - p. 7032-7042 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.00691
RT T1
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation
UL https://suche.suub.uni-bremen.de/peid=ieee-9878830&Exemplar=1&LAN=DE A1 Liu, Yahao A1 Deng, Jinhong A1 Tao, Jiale A1 Chu, Tong A1 Duan, Lixin A1 Li, Wen YR 2022 SN 2575-7075 K1 Computer vision K1 Codes K1 Shape K1 Semantics K1 Benchmark testing K1 Data models K1 Pattern recognition K1 Transfer/low-shot/long-tail learning; Segmentation K1 grouping and shape analysis SP 7032 OP 7042 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.00691 DO https://doi.org/10.1109/CVPR52688.2022.00691 SF ELIB - SuUB Bremen
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