首页|Researchers from Fudan University Describe Findings in Robotics (Mgr3net: Multig ranularity Region Relation Representation Network for Facial Expression Recognit ion In Affective Robots)
Researchers from Fudan University Describe Findings in Robotics (Mgr3net: Multig ranularity Region Relation Representation Network for Facial Expression Recognit ion In Affective Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news reporting fromShanghai, People’s Republic of China, b y NewsRx journalists, research stated, “Automatic facial expressionrecognition (FER) based on face images is essential for affective robots, which are designed for interactivecompanions and intelligent healthcare. Although existing DL-bas ed FERs have made significant progress,an accurate FER model in robots is chall enging due to the subtle differences in facial expressions acrossvarious scenar ios.”
ShanghaiPeople’s Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRoboticsFudan University
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