SMAC introduces a spatial-modal fusion backbone and adaptive collapse network for multimodal MOT, reporting 63.31 HOTA and 79.21 MOTA on UniRTL RNT modality.
Hybrid-sort: Weak cues matter for online multi-object tracking,
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The authors created and released the largest public dataset of road-user trajectories from high-density urban intersections using enhanced drone-based tracking and automated calibration.
citing papers explorer
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SMAC: Spatial-Modal Joint Modeling and Adaptive Representation Collapse for Multimodal Object Tracking
SMAC introduces a spatial-modal fusion backbone and adaptive collapse network for multimodal MOT, reporting 63.31 HOTA and 79.21 MOTA on UniRTL RNT modality.
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Drone Data Analytics for Measuring Traffic Metrics at Intersections in High-Density Areas
The authors created and released the largest public dataset of road-user trajectories from high-density urban intersections using enhanced drone-based tracking and automated calibration.