A time-symmetric multi-object tracker, originally built for yeast cells, matches Tracktor's HOTA on pedestrian MOTS while scoring higher on association, though on a different test set.
An improved forest fire detection method based on the detectron2 model and a deep learning approach
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Post-Hoc MOTS: Exploring the Capabilities of Time-Symmetric Multi-Object Tracking
A time-symmetric multi-object tracker, originally built for yeast cells, matches Tracktor's HOTA on pedestrian MOTS while scoring higher on association, though on a different test set.