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LiAM-SAM: Lifecycle-Aware Memory for Robust SAM2-Based MOT

Francisco, Grégoire et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Segmentation-based multi-object tracking (MOT) with foundation video models such as SAM2 offers strong localization quality, yet remains fragile in crowded, real-world scenes. In detector-prompted SAM2 pipelines, failures typically arise at three stages of the object lifecycle: (i) erroneous or dupl
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