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1 Ergebnisse
1
ActMAD: Activation Matching to Align Distributions for Test..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Mirza, M. Jehanzeb
;
Soneira, Pol Jane
;
Lin, Wei
... - p. 24152-24161 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.02313
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>ActMAD: Activation Matching to Align Distributions for Test-Time-Training</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10203478&Exemplar=1&LAN=DE A1 Mirza, M. Jehanzeb A1 Soneira, Pol Jane A1 Lin, Wei A1 Kozinski, Mateusz A1 Possegger, Horst A1 Bischof, Horst YR 2023 SN 2575-7075 K1 Representation learning K1 Adaptation models K1 Training data K1 Object detection K1 Detectors K1 Feature extraction K1 Data models K1 Self-supervised or unsupervised representation learning SP 24152 OP 24161 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.02313 DO https://doi.org/10.1109/CVPR52729.2023.02313 SF ELIB - SuUB Bremen
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