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ZEETAD: Adapting Pretrained Vision-Language Model for Zero-..:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Phan, Thinh
;
Vo, Khoa
;
Le, Duy
... - p. 7031-7040 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00689
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10484482&Exemplar=1&LAN=DE A1 Phan, Thinh A1 Vo, Khoa A1 Le, Duy A1 Doretto, Gianfranco A1 Adjeroh, Donald A1 Le, Ngan YR 2024 SN 2642-9381 K1 Location awareness K1 Adaptation models K1 Semantics K1 Supervised learning K1 Training data K1 Transforms K1 Transformers K1 Algorithms K1 Video recognition and understanding K1 Vision + language and/or other modalities SP 7031 OP 7040 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00689 DO https://doi.org/10.1109/WACV57701.2024.00689 SF ELIB - SuUB Bremen
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