mlsanityData to 14 Oct 2026

VISALOGY: Answering Visual Analogy Questions

arXiv 1510.08973 ↗First posted 30 Oct 2015cs.CVcited by 17

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Abstract (arXiv)

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.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Oct 2015.

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Citing papers per year: 2021: 4; 2022: 5; 2023: 2; 2024: 3; 2025: 1; 2026: 2.

17 papers.

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