Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

Generative adversarial networks (GANs) have ushered in a revolution in image-to-image translation. The development and proliferation of GANs raises an interesting question: can we train a GAN to remove an object, if present, from an image while otherwise preserving the image? Specifically, can a GAN...

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Vydáno v:Proc IEEE Int Conf Comput Vis
Hlavní autoři: Siddiquee, Md Mahfuzur Rahman, Zhou, Zongwei, Tajbakhsh, Nima, Feng, Ruibin, Gotway, Michael B., Bengio, Yoshua, Liang, Jianming
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7329240/
https://ncbi.nlm.nih.gov/pubmed/32612486
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/iccv.2019.00028
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