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[논문읽기] Differentiable Augmentation for Data-Efficient GAN Training
Original Paper & Detail version Nips paper : https://proceedings.neurips.cc/paper/2020/file/55479c55ebd1efd3ff125f1337100388-Paper.pdf Detail Version paper: https://arxiv.org/pdf/2006.10738.pdf Differentiable Augmentation for Data-Efficient GAN Training The performance of generative adversarial networks (GANs) heavily deteriorates given a limited amount of training data. This is mainly because t..
읽을거리/GAN(Generative Model)
2023. 9. 29. 17:19