STL-10

STL-10 is a dataset that contains images used to evaluate semi-supervised learning methods, specifically in the context of image classification tasks.

Papers using STL-10 (14)

Spectral Normalization for Generative Adversarial Networks2018 · 2,326 citesSemi-Supervised Learning with Context-Conditional Generative Adversarial Networks2016 · 76 citesClass-Splitting Generative Adversarial Networks2017 · 31 citesQuality Aware Generative Adversarial Networks2019 · 19 citesDiscriminator optimal transport2019 · 17 citesImproved ArtGAN for Conditional Synthesis of Natural Image and Artwork2017 · 4 citesAdaptive Weighted Discriminator for Training Generative Adversarial Networks2020 · 3 citesWavelet Diffusion Models are fast and scalable Image Generators2022 · 2 citesA Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention2021Feature Alignment as a Generative Process2021An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator2021Generative Adversarial Networks using Adaptive Convolution2018Robust Generative Adversarial Network2020HGAN: Hybrid Generative Adversarial Network2021