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对视觉变压器进行比较调查,用于纹理分析中的特征提取

Leonardo Scabini1, Andre Sacilotti2, Kallil M Zielinski1

  • 1São Carlos Institute of Physics, University of São Paulo, São Carlos 13560-970, SP, Brazil.

Journal of imaging
|September 26, 2025
PubMed
概括

视觉转换器 (ViT) 显示出强大的纹理识别潜力,在GPU上的精度和效率方面超过卷积神经网络 (CNN) 和传统方法. BeiTv2-B/16实现了最高的精度.

关键词:
计算机视觉 计算机视觉深度学习是一种深度学习.质地分析,质地分析.转移学习转移学习视觉变压器 视觉变压器

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