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How and What to Learn: Taxonomizing Self-Supervised Learnin..:
, In:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Tanfous, Amor Ben
;
Zerroug, Aimen
;
Linsley, Drew
. - p. 2888-2897 , 2022
Link:
https://doi.org/10.1109/WACV51458.2022.00294
RT T1
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
: T1
How and What to Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition
UL https://suche.suub.uni-bremen.de/peid=ieee-9707095&Exemplar=1&LAN=DE A1 Tanfous, Amor Ben A1 Zerroug, Aimen A1 Linsley, Drew A1 Serre, Thomas YR 2022 SN 2642-9381 K1 Visualization K1 Three-dimensional displays K1 Systematics K1 Taxonomy K1 Supervised learning K1 Benchmark testing K1 Linear programming K1 Action and Behavior Recognition 3D Computer Vision K1 Deep Learning SP 2888 OP 2897 LK http://dx.doi.org/https://doi.org/10.1109/WACV51458.2022.00294 DO https://doi.org/10.1109/WACV51458.2022.00294 SF ELIB - SuUB Bremen
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