FashionMNIST

Dataset Card for FashionMNIST Dataset Summary Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes. We intend Fashion-MNIST to serve as a direct drop-in r

Papers using FashionMNIST (16)

Bidirectional Variational Autoencoders2025Deep Generative Clustering with VAEs and Expectation-Maximization2025Generalization Bound for Diffusion Models using Random Features2023Multilinear Latent Conditioning for Generating Unseen Attribute Combinations2020 · 7 citesWasserstein-Wasserstein Auto-Encoders2019 · 5 citesFIS-GAN: GAN with Flow-based Importance Sampling2019 · 2 citesOptimal Transport Based Generative Autoencoders2019 · 1 citesTeaching a GAN What Not to Learn2020 · 1 citesConditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks2022 · 1 citesSDiT: Spiking Diffusion Model with Transformer2024 · 1 citesA Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks2024 · 1 citesPixel-wise Conditioning of Generative Adversarial Networks2019Generative Models from the perspective of Continual Learning2018Training generative networks using random discriminators2019Hierarchical Mixtures of Generators for Adversarial Learning2019Enhanced Balancing GAN: Minority-class Image Generation2020