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Multi-Label Classification research benchmarks – Page 9 · SOTA2 Research

Multi-Label Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

63.19Accuracy

7

Feb 26, 2026

63.12Accuracy

7

Feb 26, 2026

DBLP (Author Citation) 40% (train)

66.04Micro-F1

7

Feb 26, 2026

DBLP Author Citation (20% train)

65.47Micro-F1

7

Feb 26, 2026

48.95F1 Score

6

Jun 9, 2026

67.43Accuracy

6

Jun 4, 2026

66.75Accuracy

6

Jun 4, 2026

57.43Accuracy

6

Jun 4, 2026

63.18Accuracy

6

Jun 4, 2026

Reuters-21578 1995 (test)

86.34Micro-F1

6

May 28, 2026

SAMM (original image reference gallery)

99.56mAP

6

May 28, 2026

94.4Scenario 1 Performance

6

May 19, 2026

89.5AUC

6

Apr 13, 2026

57.65F1 Score

6

Feb 27, 2026

ENRON processed image data

15.4F1 Score

6

Feb 27, 2026

36.58Precision @ 3

6

Feb 27, 2026

Rad-ChestCT (external val)

72.3AUC

6

Feb 26, 2026

LC100Cls-S3 Copernicus-Bench (test)

93.3mAP

6

Feb 26, 2026

93.6Accuracy

6

Feb 26, 2026

Custom Short Video Dataset (test)

67.86mAP

6

Feb 26, 2026

LVIS v1.0 (test)

78.57mAP (C)

6

Feb 26, 2026

42.5mAP

6

Feb 26, 2026

KanShan-Cup dataset (test)

1.36Precision

6

Feb 26, 2026

Flickr 90% (train)

64.74Micro-F1

6

Feb 26, 2026

Flickr 80% (train)

64.75Micro-F1

6

Feb 26, 2026

Page 9 of 14

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