Computational Intelligence and Neuroscience / 2018 / Article / Tab 2

Research Article

Unsupervised Domain Adaptation for Facial Expression Recognition Using Generative Adversarial Networks

Table 2

Comparison with other published methods.

MethodSource DatasetTarget DatasetRecognition Accuracy on The Target Dataset

Meguid et al. [13]Bu-3DFEJAFFE41.96%
Wen et al. [14]FER2013JAFFE50.70%
Gu et al. [15]CKJAFFE55.87%
Zhu et al. [16]FEEDJAFFE61.97%
Our MethodCK+JAFFE51.64%
Our MethodFER2013JAFFE59.62%

Mayer et al. [17]CKMMI60.30%
Mayer et al. [17]FEEDMMI58.90%
Our MethodFER2013MMI61.86%

Gu et al. [15]JAFFECK+54.05%
Mayer et al. [17]FEEDCK+56.60%
Wen et al. [14]FER2013CK+76.05%
Our MethodJAFFECK+65.01%
Our MethodFER2013CK+76.58%

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