Glaciohound/VCML

How to generate synthetic questions and answers, based on the ground-truth annotations of visual concepts?

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The author said "We use programs to generate synthetic questions and answers, based on the ground-truth annotations of visual concepts", could you release the code.

Thank you for your interests! VCML/dataset/question_dataset/build_questions/build_questions.py lists functions for constructing the questions and programs. Hope they can provide information that you are looking for.