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cs.CV2024
PropTest: Automatic Property Testing for Improved Visual Programming
Jaywon Koo, Ziyan Yang, Paola Cascante-Bonilla +2
Visual Programming has recently emerged as an alternative to end-to-end black-box visual reasoning models. This type of method leverages Large Language Models (LLMs) to generate th…
cs.CV2024
Learning from Synthetic Data for Visual Grounding
Ruozhen He, Ziyan Yang, Paola Cascante-Bonilla +2
This paper extensively investigates the effectiveness of synthetic training data to improve the capabilities of vision-and-language models for grounding textual descriptions to ima…