FindIt: A Format-Informed Visual Detection Benchmark for Generalist Multimodal LLMs

This work created a comprehensive benchmark to evaluate how well generalist multimodal models localize objects using text prompts across four tasks: object detection, referring expression detection, instance localization, and video object detection. It found that model performance is highly dependent on the output format requested in the prompt.

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