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. Author manuscript; available in PMC: 2020 Sep 16.
Published in final edited form as: Proc AAAI Conf Artif Intell. 2020 Feb;34(4):6526–6533. doi: 10.1609/aaai.v34i04.6126

Table 1:

This table shows the test accuracy on VGGFACE100 and CIFAR100 dataset.

Methodrl 0.2 0.4 0.6 0.8 1.0
VGGFACE100

Ordinary label (Oracle) 0.673 0.804 0.870 0.891 0.917

DCL 0.378 0.685 802 0.849 0.884
CCGAN 0.447 0.728 0.822 0.865 0.896

CIFAR100

Ordinary label (Oracle) 0.439 0.804 0.870 0.891 0.917

DCL 0.252 0.452 0.561 0.609 0.651
CCGAN 0.320 0.520 0.571 0.632 0.660