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arXiv · 1510.08973

VISALOGY: Answering Visual Analogy Questions

Fereshteh Sadeghi·C. Lawrence Zitnick·Ali Farhadi
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Abstract

In this paper, we study the problem of answering visual analogy questions. These questions take the form of image A is to image B as image C is to what. Answering these questions entails discovering the mapping from image A to image B and then extending the mapping to image C and searching for the image D such that the relation from A to B holds for C to D. We pose this problem as learning an embedding that encourages pairs of analogous images with similar transformations to be close together using convolutional neural networks with a quadruple Siamese architecture. We introduce a dataset of visual analogy questions in natural images, and show first results of its kind on solving analogy questions on natural images.

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Fereshteh Sadeghi, C. Lawrence Zitnick, Ali Farhadi. 2015-10-30. VISALOGY: Answering Visual Analogy Questions. https://arxiv.org/abs/1510.08973

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