Apr 27, 2020 · In this paper, we not only consider the prediction accuracy on sample points, but also take the neighborhood smoothness of them into ...
Experiments show the effectiveness of the proposed method and state-of-the-art results are reported, getting closer to an upper limit than the state-of-the-art ...
A novel method is proposed to formulate semantic perturbation and select unreliable samples during training, reducing the bad effect of them, ...
In this paper, we not only consider the prediction accuracy on sample points, but also take the neighborhood smoothness of them into consideration, focusing on ...
Different from many other attributes, facial expression can change in a continuous way, and therefore, a slight semantic change of input should also lead to ...
Semantic Neighborhood-Aware Deep Facial Expression Recognition
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Publication year： Apr. 27, 2020 update date on preprint server： Apr. 27, 2020. JST Material Number： O7000B Document type： Preprint
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Cross-domain Facial Expression Recognition (FER) aims to safely transfer the learned knowledge from labeled source data to unlabeled target ...
A novel local descriptor named Neighborhood-aware Edge Directional Pattern (NEDP) is proposed, which examines the gradients at the target (center) pixel as ...
Facial Expression Recognition (FER) is a computer vision task aimed at identifying and categorizing emotional expressions depicted on a human face.