ChiQA (Chinese VQA)
Introduced by Wang et al. in ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding
ChiQA is a dataset designed for visual question answering tasks that not only measures the relatedness but also measures the answerability, which demands more fine-grained vision and language reasoning. It contains more than 40K questions and more than 200K question-images pairs. The questions are real-world image-independent queries that are more various and unbiased.
Papers
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