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1 Ergebnisse
1
Explore Spatio-temporal Aggregation for Insubstantial Objec..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Zhou, Kailai
;
Wang, Yibo
;
Lv, Tao
... - p. 3094-3105 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.00311
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Explore Spatio-temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879794&Exemplar=1&LAN=DE A1 Zhou, Kailai A1 Wang, Yibo A1 Lv, Tao A1 Li, Yunqian A1 Chen, Linsen A1 Shen, Qiu A1 Cao, Xun YR 2022 SN 2575-7075 K1 Shape K1 Image color analysis K1 Object detection K1 Predictive models K1 Pattern recognition K1 Task analysis K1 Synthetic aperture radar K1 Video analysis and understanding; Datasets and evaluation SP 3094 OP 3105 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.00311 DO https://doi.org/10.1109/CVPR52688.2022.00311 SF ELIB - SuUB Bremen
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