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视觉转换器和卷积神经网络之间的全面比较,用于面部识别任务.

Marcos Rodrigo1, Carlos Cuevas2, Narciso García2

  • 1Grupo de Tratamiento de Imágenes (GTI), Information Processing and Telecommunications Center (IPTC), Universidad Politécnica de Madrid (UPM), Madrid, 28040, Spain. marcos.rodrigo@upm.es.

Scientific reports
|September 13, 2024
PubMed
概括

视觉转换器在面部识别任务中优于卷积神经网络,在阻塞和距离方面表现出卓越的准确性和稳定性. 这些模型提供了更高效的解决方案,推断速度更快,内存足迹更小.

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