Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning

CVPR 2018 David MascharkaPhilip TranRyan SoklaskiArjun Majumdar

Visual question answering requires high-order reasoning about an image, which is a fundamental capability needed by machine systems to follow complex directives. Recently, modular networks have been shown to be an effective framework for performing visual reasoning tasks... (read more)

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