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Papers Benchmarks Datasets Tasks

Multimodal Classification research benchmarks – Page 3 · SOTA2 Research

Multimodal Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Infarction Missing Tabular Rate γ=0

85.49AUC

10

Feb 26, 2026

CAD Missing Tabular Rate γ=1

0.725AUC

10

Feb 26, 2026

CAD Missing Tabular Rate γ=0

86.17AUC

10

Feb 26, 2026

DVM Missing Tabular Rate γ=1

93.43Accuracy

10

Feb 26, 2026

DVM Missing Tabular Rate γ=0

99.5Accuracy

10

Feb 26, 2026

62.75P-T

10

Feb 26, 2026

VGGSound large-scale (test)

54.98ACC

9

Jun 16, 2026

74.45Accuracy

9

Apr 8, 2026

95.61Accuracy

9

Mar 23, 2026

80.79Accuracy

9

Mar 23, 2026

UPMC FOOD101 multimodal noise η=10%, ε=5 original (test)

74.2Accuracy

9

Feb 26, 2026

CUB multimodal noise η=10%, ε=5 original (test)

72.4Accuracy

9

Feb 26, 2026

ROSMAP multimodal noise η=10%, ε=5 original (test)

75.1Acc

9

Feb 26, 2026

BRCA multimodal noise η=10%, ε=5 original (test)

67.4Accuracy

9

Feb 26, 2026

80.3Headline Accuracy

9

Feb 26, 2026

CrisisMMD (test)

31.2Accuracy

8

Jun 16, 2026

Hateful Memes (test)

69.8Accuracy

8

Jun 11, 2026

MOSI Whole (test)

75.3Accuracy

8

Jun 11, 2026

UR-Funny Whole (test)

63.6Accuracy

8

Jun 11, 2026

Hateful Memes Synergy

48.9Accuracy

8

Jun 11, 2026

37.2Accuracy

8

Jun 11, 2026

MUStARD Synergy

52.9Accuracy

8

Jun 11, 2026

UR-Funny Synergy

22.8Accuracy

8

Jun 11, 2026

Conflict-NYUD 100% (test)

60.63Recall

8

Mar 30, 2026

NYUD 75% conflict (test)

56.6Recall

8

Mar 30, 2026

Page 3 of 5

Popular datasets

NYUD Conflict-AV-MNIST CelebA DVM CrisisMMD

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