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1 Ergebnisse
1
Efficient Labelling of Affective Video Datasets via Few-Sho..:
, In:
Proceedings of the 31st ACM International Conference on Multimedia
,
Parameshwara, Ravikiran
;
Radwan, Ibrahim
;
Asthana, Akshay
... - p. 6161-6170 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581783.3613784
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>Efficient Labelling of Affective Video Datasets via Few-Shot & Multi-Task Contrastive Learning</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3613784&Exemplar=1&LAN=DE A1 Parameshwara, Ravikiran A1 Radwan, Ibrahim A1 Asthana, Akshay A1 Abbasnejad, Iman A1 Subramanian, Ramanathan A1 Goecke, Roland PB ACM YR 2023 K1 arousal K1 contrastive learning K1 emotion category K1 few-shot K1 multi-task K1 siamese network K1 similarity K1 valence K1 video labelling K1 Human-centered computing K1 Human computer interaction (HCI) K1 Empirical studies in HCI K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision representations SP 6161 OP 6170 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3613784 DO https://dl.acm.org/doi/10.1145/3581783.3613784 SF ELIB - SuUB Bremen
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