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Papers Benchmarks Datasets Tasks

USPS dataset and benchmarks – Page 2 · SOTA2 Research

Research Datasets

USPS

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Deep Clustering

USPS (full)

49Execution Time (s)

9

Deep Clustering

USPS

49Execution Time (s)

9

Ensemble Clustering

USPS

1.59Time Cost (s)

9

Ensemble Clustering

USPS

78.17CA

9

Dimensionality Reduction

USPS

0.02Angular Distortion Index (Class)

8

Image Classification

USPS

92.9Clean Accuracy

7

Ownership Verification

USPS

99.8Accuracy (with watermark patch)

7

Binary Classification

usps LIBSVM (test)

0.926Average AUC

7

Bilevel Optimization

USPS natural label shift

0.206Final Loss

6

USPS

0.11Runtime (s)

6

Agglomerative Clustering

USPS

29.01Time Cost (s)

6

Non-parametric clustering

USPS

11.2Inferred K_hat

5

Dimensionality Reduction

USPS 9K

87.4Centroid Triplet Accuracy

5

Dimensionality Reduction

USPS

66.5RTE (Accuracy)

5

Dimensionality Reduction

USPS

95.6SVM Accuracy

5

Centroid Triplet Accuracy

USPS

81.4Centroid Triplet Accuracy (CTE)

5

Pairwise Learning

usps (test)

92.6Average AUC

5

USPS

89.1Best Score (%)

4

USPS (30% outliers)

64.56Accuracy

4

USPS clean

65.78Accuracy

4

USPS

0.82NMI

4

USPS

0.72ARI

4

Deep Clustering

USPS

0.935SC

4

Confidence Calibration

USPS Digit

1.04ECEKDE

3

USPS

76AMI

3

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Popular tasks

Clustering Deep Clustering Dimensionality Reduction Image Classification Classification

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