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Papers Benchmarks Datasets Tasks

Multi-instance Learning Classification research benchmarks · SOTA2 Research

Multi-instance Learning Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ELEPHANT classical MIL (10-fold cross-val)

94.3Accuracy

9

May 28, 2026

TIGER classical MIL (10-fold cross-val)

96.1Accuracy

9

May 28, 2026

FOX classical MIL (10-fold cross-val)

0.747Accuracy

9

May 28, 2026

MUSK2 classical MIL (10-fold cross-validation)

97Accuracy

9

May 28, 2026

MUSK1 classical MIL (10-fold cross-validation)

96.2Accuracy

9

May 28, 2026

OrganAMNIST v2 (test)

—

—Primary metric

0

Feb 26, 2026

OCTMNIST v2 (test)

—

—Primary metric

0

Feb 26, 2026

DermaMNIST v2 (test)

—

—Primary metric

0

Feb 26, 2026

PneumoniaMNIST v2 (test)

—

—Primary metric

0

Feb 26, 2026

BreastMNIST v2 (test)

—

—Primary metric

0

Feb 26, 2026

PathMNIST v2 (test)

—

—Primary metric

0

Feb 26, 2026

BloodMNIST v2 (test)

—

—Primary metric

0

Feb 26, 2026

Popular datasets

PathMNIST MUSK2 Fox MUSK TIGER

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