Visual Relationship Detection with Language Priors

ECCV, 2016.

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Our method captures the visual relationships present in the query image, which is important for high quality image retrieval, improving with a median rank of 4

Abstract:

Visual relationships capture a wide variety of interactions between pairs of objects in images (e.g. “man riding bicycle” and “man pushing bicycle”). Consequently, the set of possible relationships is extremely large and it is difficult to obtain sufficient training examples for all possible relationships. Because of this limitation, prev...More

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