ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos

Human activity recognition is an emerging and important area in computer vision which seeks to determine the activity an individual or group of individuals are performing. The applications of this field ranges from generating highlight videos in sports, to intelligent surveillance and gesture recogn...

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Principais autores:	James Wensel, Hayat Ullah, Arslan Munir
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2023-01-01
סדרה:	IEEE Access
נושאים:	Transformer neural networks human activity recognition video analytics recurrent neural networks convolutional neural networks
גישה מקוונת:	https://ieeexplore.ieee.org/document/10177697/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!