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1 Ergebnisse
1
MaskSplit: Self-supervised Meta-learning for Few-shot Seman..:
, In:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Amac, Mustafa Sercan
;
Sencan, Ahmet
;
Baran, Orhun Bugra
.. - p. 428-438 , 2022
Link:
https://doi.org/10.1109/WACV51458.2022.00050
RT T1
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
: T1
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation
UL https://suche.suub.uni-bremen.de/peid=ieee-9706832&Exemplar=1&LAN=DE A1 Amac, Mustafa Sercan A1 Sencan, Ahmet A1 Baran, Orhun Bugra A1 Ikizler-Cinbis, Nazli A1 Cinbis, Ramazan Gokberk YR 2022 SN 2642-9381 K1 Training K1 Image segmentation K1 Adaptation models K1 Semantics K1 Training data K1 Prototypes K1 Estimation K1 Transfer K1 Few-shot K1 Semi- and Un- supervised Learning Segmentation K1 Grouping and Shape SP 428 OP 438 LK http://dx.doi.org/https://doi.org/10.1109/WACV51458.2022.00050 DO https://doi.org/10.1109/WACV51458.2022.00050 SF ELIB - SuUB Bremen
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