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README.md

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@@ -245,7 +245,8 @@ Precision measures how accurately the generator can learn the target distributio
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#### ※ We always welcome your contribution if you find any wrong implementation, bug, and misreported score.
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We report the best IS, FID, and F_beta values of various GANs.
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(P) and (C) refer to GANs using PD (Projection Discriminator) and CL (Contrastive Learning) as conditional models, respectively.
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[CR](https://arxiv.org/abs/1910.12027), [ICR](https://arxiv.org/abs/2002.04724), [DiffAug](https://arxiv.org/abs/2006.10738), [ADA](https://arxiv.org/abs/2006.06676), and [LO](https://arxiv.org/abs/1912.00953) refer to regularization or optimization techiniques: CR (Consistency Regularization), ICR (Improved Consistency Regularization), DiffAug (Differentiable Augmentation), ADA (Adaptive Discriminator Augmentation), and LO (Latent Optimization), respectively.
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### CIFAR10 (3x32x32)
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