Table 1.
Literature table of related work.
Fig 1.
The framework our method.
Table 2.
The introduction of the levels.
Table 3.
Pseudo code of FM-DLM.
Table 4.
The introduction of Baidu-AI.
Table 5.
The experimental process of our method (FM-DLM).
Table 6.
The evaluation of trained models (accuracy of label classification, percentage).
Table 7.
CIFAR-10, CIFAR-10 and Mini-ImageNet (accuracy of dataset prediction, percentage).
Table 8.
Accuracy of label classification with dataset prediction, percentage.
Table 9.
Accuracy of label classification with dataset prediction, percentage.
Table 10.
The evaluation of each step (accuracy of label classification with dataset prediction, percentage).
Fig 2.
Selection of models (accuracy of label classification with dataset prediction).
Fig 3.
The evaluation on more datasets.
Fig 4.
A simple illustration of our method.
Table 11.
The execution time and memory consumption.
Table 12.
The execution time and memory consumption.
Table 13.
The introduction of the employed acronyms.