OtherOpen Access
DFME: A New Benchmark for Dynamic Facial Micro-expression Recognition
Authors
Author Affiliations
University of Science and Technology of China, Southwest University of Science and Technology, University of Science and Technology Chittagong
Published InarXiv (Cornell University)
Year2023
Citations3
Abstract
One of the most important subconscious reactions, micro-expression (ME), is a spontaneous, subtle, and transient facial expression that reveals human beings' genuine emotion. Therefore, automatically recognizing ME (MER) is becoming increasingly crucial in the field of affective computing, providing essential technical support for lie detection, clinical psychological diagnosis, and public safety. However, the ME data scarcity has severely hindered the development of advanced data-driven MER models. Despite the recent efforts by several spontaneous ME databases to alleviate this problem, there is still a lack of sufficient data. Hence, in this paper, we overcome the ME data scarcity problem by collecting and annotating a dynamic spontaneous ME database with the largest current ME data scale called DFME (Dynamic Facial Micro-expressions). Specifically,…
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