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Don't freeze: Finetune encoders for better Self-Supervised ..:
, In:
Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
,
Fortes Rey, Vitor
;
Nshimyimana, Dominique
;
Lukowicz, Paul
- p. 195-196 , 2023
Link:
https://dl.acm.org/doi/10.1145/3594739.3610790
RT T1 <cTitle>Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing</cTitle>: T1 <Title>Don't freeze: Finetune encoders for better Self-Supervised HAR</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3610790&Exemplar=1&LAN=DE A1 Fortes Rey, Vitor A1 Nshimyimana, Dominique A1 Lukowicz, Paul PB ACM YR 2023 K1 human activity recognition K1 self-supervised learning K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning SP 195 OP 196 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594739.3610790 DO https://dl.acm.org/doi/10.1145/3594739.3610790 SF ELIB - SuUB Bremen
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