Title
Cross-Database Micro-Expression Recognition: A Benchmark
Abstract
Cross-database micro-expression recognition (CDMER) is one of recently emerging and interesting problem in micro-expression analysis. CDMER is more challenging than the conventional micro-expression recognition (MER), because the training and testing samples in CDMER come from different micro-expression databases, resulting in inconsistency of the feature distributions between the training and tes...
Year
DOI
Venue
2022
10.1109/TKDE.2020.2985365
IEEE Transactions on Knowledge and Data Engineering
Keywords
DocType
Volume
Databases,Emotion recognition,Protocols,Training,Cameras,Feature extraction,Task analysis
Journal
34
Issue
ISSN
Citations 
2
1041-4347
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Tong Zhang1666.03
Yuan Zong216217.39
Wenming Zheng3124080.70
C. L. Philip Chen4193.23
Xiaopeng Hong537942.27
Chuangao Tang600.34
Zhen Cui758041.43
Guoying Zhao811.09