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FashionGen dataset and benchmarks · SOTA2 Research

Research Datasets

FashionGen

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Text-to-Image Retrieval

FashionGen (test)

70.12R@1

22

Image-to-Text Retrieval

FashionGen (test)

73.14R@1

22

Multi-view Composed Image Retrieval

FashionGen (val)

75Recall@5

17

Training Data Exposure Detection

FashionGen

92.7AUC

11

FashionGen (test)

53.3Top-1 Accuracy (Super-class)

9

Image-to-Text Retrieval

FashionGen

63.4R@5

9

Subcategory Recognition

FashionGen (test)

94.67Accuracy

8

Image Captioning

FashionGen (test)

30.73BLEU

7

FashionGen

460.46RMSE

6

Cross-modal Retrieval

FashionGen full 31 (test)

58.63Recall@1

6

Text-to-Image Retrieval

FashionGen 31 (test)

62.82R@1

6

Image-to-Text Retrieval

FashionGen 31 (test)

54.43Recall@1

6

FashionGen Sub-class (test)

38.7Accuracy

5

FashionGen Super-class (test)

55.3Accuracy

5

Subcategory Recognition

FashionGen

94.33Accuracy

4

Category Recognition

FashionGen

98.34Accuracy

4

Popular tasks

Classification Image-to-Text Retrieval Text-to-Image Retrieval Subcategory Recognition Cross-modal retrieval

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