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Image Classification research benchmarks – Page 331 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

—

—Primary metric

0

Feb 26, 2026

Digits Standard (MNIST, SVHN, USPS, SynthDigits, MNIST-M) (test)

—

—Primary metric

0

Feb 26, 2026

Products (test)

—

—Accuracy

0

Feb 26, 2026

—

—Accuracy

0

Feb 26, 2026

CIFAR-10 DARTS search space (val)

—

—Primary metric

0

Feb 26, 2026

CIFAR100 (test)

—

—Communication Rounds (Acc=40%)

0

Feb 26, 2026

—

—Communication Rounds (Acc=75%)

0

Feb 26, 2026

CIFAR100 (test)

—

—Primary metric

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

—

—PGD Robustness

0

Feb 26, 2026

—

—Accuracy

0

Feb 26, 2026

CIFAR-10 fixed subset of 512 randomly sampled images (test)

—

—Standard Accuracy

0

Feb 26, 2026

CIFAR100 (test)

—

—Standard Accuracy

0

Feb 26, 2026

—

—Clean Accuracy

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

—

—NAT

0

Feb 26, 2026

CIFAR-100 (test)

—

—Natural Accuracy

0

Feb 26, 2026

—

—Accuracy (Pruned)

0

Feb 26, 2026

CIFAR-100 (test)

—

—Accuracy (Base)

0

Feb 26, 2026

CIFAR-10 (test)

—

—Delta Accuracy

0

Feb 26, 2026

—

—Clean Error Rate

0

Feb 26, 2026

ImageNet (test)

—

—Acc (Clean)

0

Feb 26, 2026

—

—Clean Accuracy

0

Feb 26, 2026

—

—Clean Error Rate

0

Feb 26, 2026

CIFAR-10 (test)

—

—Clean Accuracy

0

Feb 26, 2026

Page 331 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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