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B-FPN SSD: an SSD algorithm based on a bidirectional feature fusion pyramid

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Abstract

This paper proposes a bidirectional feature fusion pyramid (B-FPN) Single Shot Multiple Frame Detector (SSD) algorithm. First, a bidirectional feature pyramid (B-FPN) structure is constructed, which realizes the bidirectional fusion of the feature layers and improves the accuracy of detection. Second, we introduce coordinate attention (CA) to focus on the important channel features while preserving their location information, thereby increasing the focus on the important information. Finally, optimizing the loss function speeds up the convergence of the model and further improves the detection accuracy of the network. The experimental results show that on the VOC2007 dataset, the mAP of the algorithm in this paper is 76.48%, which is 3.52% higher than that of the SSD algorithm. On the COCO 2017 dataset, the mAP of the proposed algorithm is 3.85% higher than that of the SSD algorithm. Compared with other mainstream target detection algorithms, the algorithm in this paper has certain advantages in detection accuracy, and can also achieve satisfactory results in detection speed. Finally, the accuracy of foreign object recognition in the special environment of iron ore transportation is 98.26%.

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Data availability statement

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

This work is partially supported by the National Natural Science Foundation of China (No. U1804147), Innovative Scientists and Technicians Team of Henan Provincial High Education (20IRTSTHN019), Science and Technology Project of Henan Province(No. 212102210508) .

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Authors and Affiliations

  1. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo, China

    Qunpo Liu, Junjia Bi, Jingwen Zhang & Xuhui Bu

  2. Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment, Jiaozuo, Henan, China

    Qunpo Liu, Xuhui Bu & Naohiko Hanajima

  3. College of Information and Systems, Muroran Institute of Technology, 27-1 Mizumoto-Cho, Muroran, Hokkaido, 050-8585, Japan

    Naohiko Hanajima

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  1. Qunpo Liu
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  2. Junjia Bi
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Correspondence to Junjia Bi.

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Liu, Q., Bi, J., Zhang, J. et al. B-FPN SSD: an SSD algorithm based on a bidirectional feature fusion pyramid. Vis Comput 39, 6265–6277 (2023). https://doi.org/10.1007/s00371-022-02727-4

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