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Domain Regeneration for Cross-Database Micro-Expression Recognition
2018
IEEE Transactions on Image Processing
In this paper, we investigate the cross-database micro-expression recognition problem, where the training and testing samples are from two different micro-expression databases. Under this setting, the training and testing samples would have different feature distributions and hence the performance of most existing micro-expression recognition methods may decrease greatly. To solve this problem, we propose a simple yet effective method called Target Sample Re-Generator (TSRG) in this paper. By
doi:10.1109/tip.2018.2797479
pmid:29994602
fatcat:snus6rqb6vh2fkcz6yymqxcruq