Bildwissen kann erfolgreich auf IMU-Sensoranwendungen übertragen werden, um die Leistung zu verbessern.
CODA proposes a cost-efficient domain adaptation mechanism for mobile sensing, ensuring robust adaptation to uncertain conditions.
CODA proposes a cost-efficient domain adaptation mechanism for mobile sensing, addressing real-time drifts with active learning theory.
大規模画像からIMUセンシングアプリケーションへの知識移行を可能にするIMG2IMUの効果的な提案と評価。
The author proposes IMG2IMU to transfer knowledge from large-scale images to IMU sensing tasks, utilizing sensor-aware augmentations and spectrogram transformations. By adapting vision knowledge, IMG2IMU outperforms baselines in IMU sensing tasks with limited training data.