Human-Adversarial Visual Question Answering Sasha Sheng Amanpreet Singh V edanuj Goswami Jose Alberto Lopez Magana Tristan Thrush Wojciech Galuba Devi Parikh Douwe Kiela

Neural Information Processing Systems 

Performance on the most commonly used Visual Question Answering dataset (VQA v2) is starting to approach human accuracy.

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