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1 Ergebnisse
1
Pixel-Level and Affinity-Level Knowledge Distillation for U..:
, In:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Xu, Rui
;
Wang, Yufeng
;
Ye, Xinchen
... - p. 1376-1380 , 2022
Link:
https://doi.org/10.1109/ICASSP43922.2022.9746715
RT T1 <cTitle>ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9746715&Exemplar=1&LAN=DE A1 Xu, Rui A1 Wang, Yufeng A1 Ye, Xinchen A1 Wu, Pengcheng A1 Chen, Yen-Wei A1 Xu, Fangyi A1 Zhu, Wenchao A1 Chen, Chao A1 Zhou, Yong A1 Hu, Hongjie A1 Qu, Xiaofeng A1 Kido, Shoji A1 Tomiyama, Noriyuki YR 2022 SN 2379-190X K1 COVID-19 K1 Knowledge engineering K1 Training K1 Image segmentation K1 Computed tomography K1 Signal processing K1 Lesions K1 Knowledge Distillation K1 Unsupervised Segmentation K1 Anomaly Detection K1 Affinity-Level SP 1376 OP 1380 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP43922.2022.9746715 DO https://doi.org/10.1109/ICASSP43922.2022.9746715 SF ELIB - SuUB Bremen
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