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Table 1.

Literature table of related work.

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Fig 1.

The framework our method.

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Table 2.

The introduction of the levels.

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Table 3.

Pseudo code of FM-DLM.

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Table 4.

The introduction of Baidu-AI.

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Table 5.

The experimental process of our method (FM-DLM).

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Table 6.

The evaluation of trained models (accuracy of label classification, percentage).

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Table 7.

CIFAR-10, CIFAR-10 and Mini-ImageNet (accuracy of dataset prediction, percentage).

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Table 8.

Accuracy of label classification with dataset prediction, percentage.

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Table 9.

Accuracy of label classification with dataset prediction, percentage.

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Table 10.

The evaluation of each step (accuracy of label classification with dataset prediction, percentage).

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Fig 2.

Selection of models (accuracy of label classification with dataset prediction).

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Fig 3.

The evaluation on more datasets.

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Fig 4.

A simple illustration of our method.

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Table 11.

The execution time and memory consumption.

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Table 12.

The execution time and memory consumption.

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Table 13.

The introduction of the employed acronyms.

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