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1 Ergebnisse
1
Normality Guided Multiple Instance Learning for Weakly Supe..:
, In:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Park, Seongheon
;
Kim, Hanjae
;
Kim, Minsu
.. - p. 2664-2673 , 2023
Link:
https://doi.org/10.1109/WACV56688.2023.00269
RT T1 <cTitle>2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10030221&Exemplar=1&LAN=DE A1 Park, Seongheon A1 Kim, Hanjae A1 Kim, Minsu A1 Kim, Dahye A1 Sohn, Kwanghoon YR 2023 SN 2642-9381 K1 Training K1 Prototypes K1 Streaming media K1 Predictive models K1 Video surveillance K1 Real-time systems K1 Safety K1 Algorithms: Video recognition and understanding (tracking K1 action recognition K1 etc.) K1 Machine learning architectures K1 formulations K1 and algorithms (including transfer K1 low-shot K1 semi- K1 self- K1 and un-supervised learning) K1 Robotics SP 2664 OP 2673 LK http://dx.doi.org/https://doi.org/10.1109/WACV56688.2023.00269 DO https://doi.org/10.1109/WACV56688.2023.00269 SF ELIB - SuUB Bremen
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