Inferring and Executing Programs for Visual Reasoning

ICCV 2017 Justin JohnsonBharath HariharanLaurens van der MaatenJudy HoffmanLi Fei-FeiC. Lawrence ZitnickRoss Girshick

Existing methods for visual reasoning attempt to directly map inputs to outputs using black-box architectures without explicitly modeling the underlying reasoning processes. As a result, these black-box models often learn to exploit biases in the data rather than learning to perform visual reasoning... (read more)

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