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INR classification research benchmarks · SOTA2 Research

INR classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

F-MNIST Implicit Neural Representations (test)

84.6Accuracy

21

Apr 28, 2026

98.6Accuracy

18

Jul 3, 2026

CIFAR-10 (test)

42.2Accuracy

13

Apr 28, 2026

Augmented CIFAR-10 Implicit Neural Representations (test)

56.95Accuracy

7

Feb 26, 2026

CIFAR-10 Implicit Neural Representations (test)

38.82Accuracy

7

Feb 26, 2026

FashionMNIST INR

Monomial-NFN Quasi

62.11Accuracy

6

Apr 28, 2026

Monomial-NFN Quasi

70.21Accuracy

6

Apr 28, 2026

0.005Runtime (s)

5

Jul 3, 2026

CIFAR-100 (test)

42.4Accuracy

5

Jul 3, 2026

FashionMNIST (test)

90.6Accuracy

5

Jul 3, 2026

Popular datasets

CIFAR MNIST FashionMNIST CIFAR-10 F-MNIST

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