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Found 2 papers, 1 papers with code
Weight-based Mask for Domain Adaptation
In addition, SEM obtains class-related feature representations using the classifier weight and focuses on the foreground features for domain adaptation.
Learning mixture of domain-specific experts via disentangled factors for autonomous driving
The domain-specific features are used to calculate the importance weight of the domain-specific experts, and the disentangled domain-general and dynamic-object features are applied in estimating the control values.
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