Abstract: In computer vision, most data are captured in 2D formats, limiting spatial understanding in real-world applications. This presents a challenge for fields such as architecture, construction, ...
% ranges - 1 x N_times x N_beacons array of LoS unit vectors % rr_beacons - 3 x N_times x N_beacons array of beacon positions ...
% loses - 3 x N_times x N_beacons array of LoS unit vectors % rr_beacons - 3 x N_times x N_beacons array of beacon positions ...
Abstract: This paper presents a novel deep learning architecture, the Dual-scale Attribute Graph Transformer (DAGT), for extracting spatial-temporal features from attributed graph data. DAGT addresses ...
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