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Use GAN to Spot Artifact, Pretrained Discriminator Uses for Downstream Tasks.
A mixture of real images (green border) and images with synthetic artifacts (red border). Is a good object representation necessary to tell them apart?
Self-Supervised Feature Learning by Learning to Spot Artifacts, Spot Artifacts, by University of Bern, 2018 CVPR, Over 100 Citations ( Sik-Ho Tsang
@ Medium).
Self-Supervised Learning, GAN, Image Classification, Object Detection.
A discriminator network is trained to distinguish real images from images with synthetic artifacts.
This pretrained discriminator is then used for downstream tasks.
Sik-Ho Tang. Brief Review — Self-Supervised Feature Learning by Learning to Spot Artifacts.
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