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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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| Publicado no: | Proc IEEE Int Conf Comput Vis |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | 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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