COAL combines VLM-based explicit semantic injection and LLM-driven counterfactual learning inside a hierarchical architecture to improve discriminative referring multi-object tracking under sparse supervision.
Just functioning as a hook for two-stage referring multi-object tracking.arXiv preprint arXiv:2503.07516,
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COAL: Counterfactual and Observation-Enhanced Alignment Learning for Discriminative Referring Multi-Object Tracking
COAL combines VLM-based explicit semantic injection and LLM-driven counterfactual learning inside a hierarchical architecture to improve discriminative referring multi-object tracking under sparse supervision.