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Modified dual attention triplet-supervised hashing network for image retrieval

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Abstract

In view of the problems of insufficient feature extraction and ineffective capture of correlation between deep features in existing image retrieval methods, a modified dual attention triplet-supervised hashing network (MDATSH) is proposed. A modified dual attention module is added after the deep neural network, that is, based on dual attention, where two attention modules are, respectively, equipped with a local branch. Specifically, a local spatial attention branch is added to the position attention module and a local channel attention branch is added to the channel attention module, which captures global dependencies while avoiding the loss of local information and effectively capturing the correlation between deep features of the image. By combining these two attention mechanisms, the network is capable of effectively extracting crucial information from input images, thereby enhancing the robustness of image feature representation. Meanwhile, a dynamic cross-entropy loss function is introduced to dynamically adjust the loss weights during model training, which is combined with the triple loss function to enhance the class separability of image hash codes while maintaining semantic similarity. The experimental results on three public datasets show that the performance of MDATSH is effectively improved in image retrieval.

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Data availability

All the datasets explored in this paper are publicly available.

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Funding

This work is supported by the National Natural Science Foundation of China (No. 62277016).

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Authors and Affiliations

  1. School of Information Engineering, Huzhou University, Huzhou, 313000, China

    Xinmin Cheng, Jingwen Chen & Ruiqin Wang

  2. Zhejiang Province Key Laboratory of Smart Management & Application of Modern Agricultural Resource, Huzhou, 313000, China

    Xinmin Cheng & Ruiqin Wang

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  1. Xinmin Cheng
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  2. Jingwen Chen
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The contribution of the authors to the article is equal. All authors reviewed the manuscript.

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Correspondence to Jingwen Chen.

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Cheng, X., Chen, J. & Wang, R. Modified dual attention triplet-supervised hashing network for image retrieval. SIViP 18, 1939–1948 (2024). https://doi.org/10.1007/s11760-023-02908-1

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