SignFormer-GCN:使.

Safaeid Hossain Arib1, Rabeya Akter1, Sejuti Rahman1

  • 1Department of Robotics and Mechatronics Engineering, University of Dhaka, Dhaka, Bangladesh.

PloS one
|February 14, 2025
PubMed
概括

手语翻译 (SLT) 研究往往忽略了关键的时空细节. 本研究介绍了SignFormer-GCN,这是一种结合变压器和图形网络的新方法,以提高手语识别和翻译精度.

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