HIGHLIGHTS
- who: Seon-Bin Kim and colleagues from the Department of Computer Engineering, Keimyung University, Daegu, Republic of Korea have published the research: Lightweight Semantic-Guided Neural Networks Based on Single Head Attention for Action Recognition, in the Journal: Sensors 2022, 22, 9249. of /2022/
- what: To solve these problems and simultaneously achieve a real-time recognition in low-end devices in this study a single head attention (SHA) that can overcome the limitations of an SGN is proposed and a new SGN-SHA model that combines SHA with an SGN is presented. The aim of . . .
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