Towards a Semantic Perceptual Image Metric

ICIP, 2018.

Cited by: 6|Bibtex|Views175|Links
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Abstract:

We present a full reference, perceptual image metric based on VGG-16, an artificial neural network trained on object classification. We fit the metric to a new database based on 140k unique images annotated with ground truth by human raters who received minimal instruction. The resulting metric shows competitive performance on TID 2013, a...More

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