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Classification on CIFAR-100 20% labeled data

Classification on CIFAR-100 20% labeled data

32.41AccuracySSMAE

Updated 8mo ago

Evaluation results

Method	Links
SSMAE2026.01		32.41
MAE2026.01		30.2
SSMAE2026.01		28.57
ViT2026.01		28.28

State-of-the-art paper

SSMAE

Semi-Supervised Masked Autoencoders: Unlocking Vision Transformer Potential with Limited Data

Dataset

CIFAR-100

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Related benchmarks

Classification on CIFAR-100 10% labeled data Image Classification on CIFAR-10 (20% labeled)Image Classification on CIFAR-10 30% labeled data Image Classification on CIFAR-10 40% labeled Classification on CIFAR-100 30% labeled data

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