Jag adapts compact multimodal models to predict all four bounding box coordinates simultaneously using a lightweight regression head. This moves away from computationally expensive autoregressive coordinate sequencing toward direct geometric prediction.
HOW THIS AFFECTS YOU
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builderYou can reduce the inference latency of visual grounding tasks by using direct box prediction.
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researcherThis approach uses geometric supervision to shape both multimodal representations and coordinate outputs.