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1 Ergebnisse
1
Unsupervised Deep Learning for Online Foreground Segmentati..:
, In:
2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
,
Takeda, Keita
;
Fujiwara, Kohei
;
Sakai, Tomoya
- p. 1-7 , 2022
Link:
https://doi.org/10.1109/DICTA56598.2022.10034581
RT T1 <cTitle>2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)</cTitle>: T1 <Title>Unsupervised Deep Learning for Online Foreground Segmentation Exploiting Low-Rank and Sparse Priors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10034581&Exemplar=1&LAN=DE A1 Takeda, Keita A1 Fujiwara, Kohei A1 Sakai, Tomoya YR 2022 K1 Deep learning K1 Training K1 Image segmentation K1 Computational modeling K1 Digital images K1 Object segmentation K1 Video surveillance K1 Feature extraction K1 Principal component analysis K1 Nuclear loss K1 dual frame U-Net K1 low-rank and sparse model K1 background subtraction SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/DICTA56598.2022.10034581 DO https://doi.org/10.1109/DICTA56598.2022.10034581 SF ELIB - SuUB Bremen
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