DUPLE adapts multi-prototype class representations using dual-domain features and sample-specific statistical guidance for more accurate cross-deployment DFOS activity recognition under label scarcity.
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Statistically-Guided Meta-Learning for Cross-Deployment Activity Recognition in Distributed Fiber-Optic Sensing
DUPLE adapts multi-prototype class representations using dual-domain features and sample-specific statistical guidance for more accurate cross-deployment DFOS activity recognition under label scarcity.