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CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets
Humans naturally use verbal utterances and nonverbal gestures to refer to various objects (known as referring expressions) in different interactional scenarios. As collecting real human interaction datasets are costly and laborious, synthetic datasets are often used to train models to unambiguously
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