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1 Ergebnisse
1
Spatio-temporal Filter Analysis Improves 3D-CNN For Action ..:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Kobayashi, Takumi
;
Ye, Jiaxing
- p. 6957-6966 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00682
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>Spatio-temporal Filter Analysis Improves 3D-CNN For Action Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10484138&Exemplar=1&LAN=DE A1 Kobayashi, Takumi A1 Ye, Jiaxing YR 2024 SN 2642-9381 K1 Filters K1 Image recognition K1 Costs K1 Three-dimensional displays K1 Convolution K1 Dynamics K1 Computer architecture K1 Algorithms K1 Video recognition and understanding SP 6957 OP 6966 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00682 DO https://doi.org/10.1109/WACV57701.2024.00682 SF ELIB - SuUB Bremen
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