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在深度视觉词包模型中使用预训练的深度学习模型作为特征提取器是否总是可以提高图像分类准确性?

Ye Xu1, Xin Zhang1, Chongpeng Huang1

  • 1School of IoT Technology, Wuxi Institute of Technology, Wuxi, Jiangsu, China.

PloS one
|February 29, 2024
PubMed
概括

在 Bag-of-Deep-Visual-Words 模型中,使用预训练的深度学习模型作为特征提取器可以提高分类准确性,特别是在 Fisher Vector 编码中. 这种方法显示了在各种数据集和模型中提高性能的巨大潜力.

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