Boxing behavior recognition based on artificial intelligence convolutional neural network with sports psychology assistant
Y Kong, Z Duan - Scientific Reports, 2024 - nature.com
The purpose of this study is to deeply understand the psychological state of boxers before
the competition, and explore an efficient boxing action classification and recognition model …
the competition, and explore an efficient boxing action classification and recognition model …
Lane Detection Based on Adaptive Cross-Scale Region of Interest Fusion
L Deng, X Liu, M Jiang, Z Li, J Ma, H Li - Electronics, 2023 - mdpi.com
Lane detection, a crucial component of autonomous driving systems, is in charge of precise
lane location to ensure that cars navigate lanes appropriately. However, in challenging …
lane location to ensure that cars navigate lanes appropriately. However, in challenging …
VioNets: efficient multi-modal fusion method based on bidirectional gate recurrent unit and cross-attention graph convolutional network for video violence detection
W Liang, X Xu, X Fu - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
Recent research on video violence detection has made great progress with the development
of multi-modal fusion techniques. However, existing approaches still pose huge challenges …
of multi-modal fusion techniques. However, existing approaches still pose huge challenges …
Student Classroom Teaching Behavior Recognition Based on DSCNN Model in Intelligent Campus Education
H Zhang, Y Li - Informatica, 2024 - informatica.si
In the contemporary era where artificial intelligence technology is becoming increasingly
popular, its introduction into classroom teaching has become an important way to improve …
popular, its introduction into classroom teaching has become an important way to improve …