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Clothing Image Classification Algorithm Based on Feature Fusion and Attention
更新时间:2024-05-16
    • Clothing Image Classification Algorithm Based on Feature Fusion and Attention

    • 最新报道,针对服装图像分类中的特征信息不足、表示能力弱及分类精度问题,科研人员提出一种基于特征融合与注意力机制的服装图像分类算法。该算法利用ResNet50网络结构,融合多阶段特征并嵌入注意力模块。在自建和DeepFashion数据集上,该算法准确率显著提升,验证了其丰富的特征提取和强大的表示能力,为服装图像分类效果的提升提供了有效方案。
    • Software Guide   Vol. 23, Issue 4, Pages: 171-177(2024)
    • DOI:10.11907/rjdk.231415    

      CLC: TP317.4
    • Published:15 April 2024

      Received:22 April 2023

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  • LI Tao,ZHANG Junjie.Clothing Image Classification Algorithm Based on Feature Fusion and Attention[J].Software Guide,2024,23(04):171-177. DOI: 10.11907/rjdk.231415.

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