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Real-time dynamic object tracking in construction environments is revolutionized by a robust sensor fusion model that combines LiDAR and fisheye imagery.
Learned attention allocation patterns reveal that SWA is best positioned in lower layers, challenging conventional wisdom on attention distribution in LLMs.