Construct · 1 fields · 1 citations

learned perceptual image patch similarity: a standalone construct

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Computer vision

a perceptual distance between images computed from deep network features, calibrated against human similarity judgments.

In computer vision, learned perceptual image patch similarity refers to a perceptual distance between images computed from deep network features, calibrated against human similarity judgments. This meaning comes from Zhang (2018) in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.[1]

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Nearby constructs

image4 fields · 5 citationsjingle · one word, four constructs network4 fields · 6 citationsjingle · one word, four constructs patch1 fields · 2 citationsanchor · a standalone construct

References

Zhang, R., Isola, P., Efros, A. A., Shechtman, E., & Wang, O. (2018). The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2018.00068

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