MVDGC unifies BEV and image-view pedestrian localization into one task via 3D cylindrical queries that enforce dual geometric constraints between views.
arXiv preprint arXiv:2408.13003 , year=
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Seg2Track++ integrates SAM2 with Mask Centroid Distance, Confidence-Aware Cost Modulation, and a Bernoulli-filter-based Probabilistic Track Validation module to improve track consistency in MOTS.
citing papers explorer
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MVDGC: Joint 3D and 2D Multi-view Pedestrian Detection via Dual Geometric Constraints
MVDGC unifies BEV and image-view pedestrian localization into one task via 3D cylindrical queries that enforce dual geometric constraints between views.
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Seg2Track++: Probabilistic Track Validation and Data Association for Multi-Object Tracking and Segmentation
Seg2Track++ integrates SAM2 with Mask Centroid Distance, Confidence-Aware Cost Modulation, and a Bernoulli-filter-based Probabilistic Track Validation module to improve track consistency in MOTS.