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1 Ergebnisse
1
IAST: Instance Association Relying on Spatio-Temporal Featu..:
, In:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Chen, Junhao
;
Liu, Sheng
;
Chen, Ruixiang
.. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICASSP49357.2023.10095641
RT T1 <cTitle>ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>IAST: Instance Association Relying on Spatio-Temporal Features for Video Instance Segmentation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10095641&Exemplar=1&LAN=DE A1 Chen, Junhao A1 Liu, Sheng A1 Chen, Ruixiang A1 Guo, Bingnan A1 Zhang, Feng YR 2023 SN 2379-190X K1 Codes K1 Training data K1 Signal processing K1 Benchmark testing K1 Robustness K1 Data models K1 Acoustics K1 video instance segmentation K1 spatio-temporal features K1 instance association K1 data augmentation SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP49357.2023.10095641 DO https://doi.org/10.1109/ICASSP49357.2023.10095641 SF ELIB - SuUB Bremen
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