CADENCE dynamically adjusts a slimmable depth estimation network's computational load according to context, cutting energy expenditure by 75% and boosting navigation accuracy by 7.43% versus static baselines.
Improving accuracy and efficiency of monocular depth estimation in power grid environments using point cloud optimization and knowledge distillation,
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CADENCE: Context-Adaptive Depth Estimation for Navigation and Computational Efficiency
CADENCE dynamically adjusts a slimmable depth estimation network's computational load according to context, cutting energy expenditure by 75% and boosting navigation accuracy by 7.43% versus static baselines.