Data-driven visual similarity for cross-domain image matching

Abstract

The goal of this work is to find visually similar images even if they appear quite different at the raw pixel level. This task is particularly important for matching images across visual domains, such as photos taken over different seasons or lighting conditions, paintings, hand-drawn sketches, etc. We propose a surprisingly simple method that estimates the… (More)
DOI: 10.1145/2024156.2024188

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