CIFAR-10

60,000 32×32 color images in 10 classes — a small, standard image-classification benchmark.

Papers using CIFAR-10 (14)

Cluster Contrast for Unsupervised Visual Representation Learning2025 · 1 citesIs Noise Conditioning Necessary for Denoising Generative Models?2025 · 1 citesEfficient Coarse-to-Fine Diffusion Models with Time Step Sequence Redistribution2026RAViT: Resolution-Adaptive Vision Transformer2026Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data2026Generalized Denoising Diffusion Codebook Models (gDDCM): Tokenizing images using a pre-trained diffusion model2025Breaking the Likelihood-Quality Trade-off in Diffusion Models by Merging Pretrained Experts2025One-step Diffusion Models with Bregman Density Ratio Matching2025Knee or ROC2024An Attention Free Transformer2021 · 42 citesBatch Curation For Unsupervised Contrastive Representation Learning2021ViTGAN: Training GANs with Vision Transformers2021 · 79 citesPatch Is Not All You Need2023 · 1 citesCompensation Sampling for Improved Convergence in Diffusion Models2023