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1
Fine-tuned CLIP Models are Efficient Video Learners:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Rasheed, Hanoona
;
Khattak, Muhammad Uzair
;
Maaz, Muhammad
.. - p. 6545-6554 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.00633
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Fine-tuned CLIP Models are Efficient Video Learners</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10204690&Exemplar=1&LAN=DE A1 Rasheed, Hanoona A1 Khattak, Muhammad Uzair A1 Maaz, Muhammad A1 Khan, Salman A1 Khan, Fahad Shahbaz YR 2023 SN 2575-7075 K1 Bridges K1 Training K1 Adaptation models K1 Computer vision K1 Analytical models K1 Codes K1 Benchmark testing K1 Video: Action and event understanding SP 6545 OP 6554 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.00633 DO https://doi.org/10.1109/CVPR52729.2023.00633 SF ELIB - SuUB Bremen
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