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A boundary-aware point clustering approach in Euclidean and embedding spaces for roof plane segmentation
We design a three-branch network to predict semantic labels, point offsets and extract deep embedding features.
ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data
In this paper, we propose a deep leaning model called ABODE-Net which employs a novel Parallel Attention (PA) block for building occupancy detection using smart meter data.
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