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11 datasets found

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• Swimmer Data Set

  The authors used the swimmer data set, a widely used data set for benchmarking NMF algorithms.

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• Dynamically Binarized MNIST

  A binary image dataset commonly used for density estimation tasks.

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• Caltech-101 Silhouettes

  A dataset of 101 images of silhouettes.

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• OMNIGLOT

  The Omniglot dataset is a large collection of handwritten characters from 61 different alphabets.

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• Pixel2Style2Pixel Training Dataset

  The dataset used for training the Pixel2Style2Pixel encoder consists of degraded copies of high-resolution images.

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• StyleGAN2-ADA Training Dataset

  The dataset used for training the StyleGAN2-ADA algorithm consists of high-resolution spatial data.

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• Fashion

  The Fashion dataset is used for human image animation task. It contains videos of humans performing different actions.

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• CIFAR10 dataset

  The dataset used in this paper is the CIFAR10 dataset, which contains 60,000 32x32 color images in 10 classes, with 6,000 images per class.

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• IMAGE DATA

  The MNIST, Fashion-MNIST, CIFAR-10, and CelebA datasets are used for image data.

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• Healing MNIST

  Krishnan et al. generated a data set called Healing MNIST, which is designed to reflect many properties that one also finds in real medical data.

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• CelebAHQ

  CelebAHQ is a dataset of celebrity faces, with 30,000 images of 10,000 celebrities.

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