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Multimodal Classification research benchmarks – Page 2 · SOTA2 Research

Multimodal Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

64.9Accuracy

21

Apr 6, 2026

Scalable Diffusion Model

71.7Accuracy

21

Feb 26, 2026

TimeCAP Weather, Finance, and Healthcare (average)

61.3Macro-F1

20

May 21, 2026

99.17Multi Modality Accuracy

20

Jun 5, 2026

73.12Accuracy (Clean)

17

Jun 1, 2026

85.81Combined Accuracy

17

Jun 11, 2026

64.6Overall Score

17

Feb 27, 2026

72.33BC Accuracy

16

Apr 8, 2026

PolyMNIST Missing Rate η=0.8

96.81Accuracy

16

Feb 26, 2026

PolyMNIST Missing Rate η=0.6

99.87Accuracy

16

Feb 26, 2026

PolyMNIST Missing Rate η=0

100Accuracy

16

Feb 26, 2026

83.13Accuracy (Image)

15

Apr 3, 2026

86.62Accuracy (Image)

15

Apr 3, 2026

CelebA Missing Modalities {T}

95.2Accuracy

14

Feb 26, 2026

CelebA Missing Modalities {I}

100Accuracy

14

Feb 26, 2026

CelebA Missing Modalities

100Accuracy

14

Feb 26, 2026

MST Missing Modalities {S,T}

0.986Accuracy

14

Feb 26, 2026

CMU-MOSEI β = 30% (test)

38.57Overall Accuracy

13

May 8, 2026

CMU-MOSEI β = 10% (test)

36.13Overall Accuracy

13

May 8, 2026

69.86Accuracy

13

Apr 6, 2026

70.69Accuracy

13

Apr 6, 2026

73.82Accuracy (%)

12

Feb 26, 2026

CREMA-D (clean split)

71.1Accuracy

10

Jul 7, 2026

0.836Accuracy

10

Feb 26, 2026

Infarction Missing Tabular Rate γ=1

72.47AUC

10

Feb 26, 2026

Page 2 of 5

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