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1 Ergebnisse
1
A Semi-Supervised Video Object Segmentation Method Based on..:
, In:
2022 41st Chinese Control Conference (CCC)
,
Han, Dan
;
Xiao, Yuelei
;
Zhan, Pengyu
.. - p. 7425-7431 , 2022
Link:
https://doi.org/10.23919/CCC55666.2022.9902558
RT T1
2022 41st Chinese Control Conference (CCC)
: T1
A Semi-Supervised Video Object Segmentation Method Based on ConvNext and Unet
UL https://suche.suub.uni-bremen.de/peid=ieee-9902558&Exemplar=1&LAN=DE A1 Han, Dan A1 Xiao, Yuelei A1 Zhan, Pengyu A1 Li, Tao A1 Fan, Mengyu YR 2022 SN 1934-1768 K1 Image segmentation K1 Object segmentation K1 Feature extraction K1 Task analysis K1 Biomedical imaging K1 Video Object Segmentation K1 Convolutional Neural Networks K1 Semi-supervised K1 Unet K1 Focal Loss SP 7425 OP 7431 LK http://dx.doi.org/https://doi.org/10.23919/CCC55666.2022.9902558 DO https://doi.org/10.23919/CCC55666.2022.9902558 SF ELIB - SuUB Bremen
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