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Papers Benchmarks Datasets Tasks

Flowers dataset and benchmarks – Page 7 · SOTA2 Research

Research Datasets

Flowers

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Image Classification

Flowers-102 42 (test)

87.9Accuracy

3

Object Localization

Flowers (test)

77.6Mask mIoU

3

Homogeneous diffusion inpainting

flowers

30.47MSE

2

Image Classification

Flowers

99.85Accuracy

2

Zero-shot Image Classification

Flowers

1.5PGD

2

Few-shot classification

Flowers102

97.81Base Score

2

Image Classification

Flowers

13.87L2 Weight Norm

2

Unseen prompt generalization

Flowers102

77.8Accuracy

2

Image Generation

Flowers Full

3.86FID

2

Image Classification

TF-FLOWERS

0.98Accuracy

2

Class-Incremental Learning

Flowers102

25.52Accuracy

1

Zero-shot Image Classification

Flowers (test)

52.3Adversarial Accuracy

1

Image Classification

Flowers102

25.64Donor Best Top-1 Accuracy Change

1

Robust Image Classification

Flowers102

—Robust Accuracy

0

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