We propose the enhanced sample self-revised network (ESSRN) with a novel outlier-handling mechanism, whose aim is first to seek these outlier samples and then ...
2022/10/17 · These outlier samples are usually far from the clustering center of the dataset in the feature space, thus resulting in considerable differences ...
An unsupervised domain adaptation (UDA) method called Sample Self-Revised Network (SSRN) is proposed, which dynamically detects the outlier level of each ...
Index Terms—Cross-dataset facial expression recognition, fa- cial expression recognition, unsupervised domain adaptation, transfer learning. I. INTRODUCTION.
含まれない: Enhanced | 必須にする:Enhanced
Enhanced Sample Self-Revised Network for Cross-Dataset Facial Expression Recognition. X Xu, Y Zong, C Lu, X Jiang. Entropy 24 (10), 1475, 2022. 1, 2022. SDFE-LV ...
This model aims to improve the accuracy of cross-dataset expression recognition and reduce the sample marking and retraining processes for expression ...
2022/07/18 · Sample Self-Revised Network for Cross-Dataset Facial Expression Recognition ... enhanced FER+ data set with multiple labels for each face ...
An unsupervised domain adaptation (UDA) method called Sample Self-Revised Network (SSRN) is proposed, which dynamically detects the outlier level of each ...
Enhanced Sample Self-Revised Network for Cross-Dataset Facial Expression Recognition. X Xu, Y Zong, C Lu, X Jiang. Entropy 24 (10), 1475, 2022. 1, 2022. SDFE-LV ...
Results of cross-dataset FER experiments between RAF-DB, JAFFE, CK+ and. Enhanced Sample Self-Revised Network for Cross-Dataset Facial Expression Recognition.