CIFAR-100
Canonical10papers using it
2022first seen
Like CIFAR-10 but with 100 fine classes (grouped into 20 superclasses), 600 images each.
Papers using CIFAR-100 (10)
- Fusion: A Framework for Unified Sequential Token AdaptatIon in VisiOn TraNsformersRethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware PerspectiveAttZoom: Attention Zoom for Better Visual FeaturesCluster Contrast for Unsupervised Visual Representation LearningAchieving 3D Attention via Triplet Squeeze and Excitation BlockSemi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited DataEnhancing compact convolutional transformers with super attentionExploring the Limits of Deep Image Clustering using Pretrained ModelsOVO: One-shot Vision Transformer Search with Online distillationPatch Is Not All You Need