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An efficient network based on double constrained loss for fabric image retrieval

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Abstract

In order to efficiently retrieve the same or similar fabric samples, a fabric image retrieval model based on deep hashing was proposed. The model was improved on the basis of MobileNetV1, and the performance of the model was improved by combining the h-swish activation function and attention mechanism module. The hashing method was used to solve the problem of low feature matching speed caused by high-dimensional feature output. By combining the label information and similarity information of the images, a new loss function was constructed, which solved the problem of low model accuracy caused by the large feature difference between similar samples and the small feature difference between heterogeneous samples in fabric images. The experimental results on self-built fabric image dataset showed that the feature extraction time of the proposed algorithm was 0.25 ms, and the MAP reached 93.2\(\%\), which can take into account the fabric retrieval speed and improve retrieval accuracy at the same time. As a result, it has certain application prospects.

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Funding

This research was supported by National Key R &D Program of China (2022YFD2000600) and the Key R &D Program of Zhejiang Leading Goose Program (2022C02052).

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Authors and Affiliations

  1. School of Computer Science and Technology, Zhejiang Sci-Tech University, Hangzhou, 310018, Zhejiang, China

    Jiangsheng Gui

  2. School of Information Science and Engineering, Zhejiang Sci-Tech University, Hangzhou, 310018, Zhejiang, China

    Dongwei Wu & Jie He

Authors
  1. Jiangsheng Gui
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  2. Dongwei Wu
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  3. Jie He
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by JG. The first draft of the manuscript was written by DW and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Jiangsheng Gui.

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Gui, J., Wu, D. & He, J. An efficient network based on double constrained loss for fabric image retrieval. SIViP 18, 305–313 (2024). https://doi.org/10.1007/s11760-023-02749-y

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