Which visual questions are difficult to answer? Analysis with Entropy of Answer Distributions

12 Apr 2020Kento TeraoToru TamakiBisser RaytchevKazufumi KanedaShun'ichi Satoh

We propose a novel approach to identify the difficulty of visual questions for Visual Question Answering (VQA) without direct supervision or annotations to the difficulty. Prior works have considered the diversity of ground-truth answers of human annotators... (read more)

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