Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1010014(2023)

Marine Fish Detection Algorithm Based on RetinaNet

Yingfeng Zhou, Rongfen Zhang, Yuhong Liu*, and Kuan Li
Author Affiliations
  • College of Big Data and Information Engineering, Guizhou University, Guiyang 550025, Guizhou, China
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    References(21)

    [1] Wang F S, Wang Q S, Chen J G et al. Improved faster R-CNN target detection algorithm based on attention mechanism and soft-NMS[J]. Laser & Optoelectronics Progress, 58, 2420001(2021).

    [2] Li C C. Detection and recognition of underwater fish targets based on YOLOv3[D](2020).

    [3] Li X, Shang M, Hao J et al. Accelerating fish detection and recognition by sharing CNNs with objectness learning[C](2016).

    [4] Boom B, Huang P, Beyan C et al. Long-term underwater camera surveillance for monitoring and analysis of fish populations[C](2012).

    [5] Silvério F J, Certal A C, de Ferro C M et al. Automatic system for zebrafish counting in fish facility tanks[M]. Campilho A, Karray F. Image analysis and recognition. Lecture notes in computer science, 9730, 774-782(2016).

    [6] Christensen J H, Mogensen L V, Galeazzi R et al. Detection, localization and classification of fish and fish species in poor conditions using convolutional neural networks[C](2018).

    [7] Wang M F, Liu M Y, Zhang F H et al. Fast classification and detection of fish images with YOLOv2[C](2018).

    [8] Xu G, Chen Q C, Yoshida T et al. Detection of bluefin tuna by cascade classifier and deep learning for monitoring fish resources[C](2020).

    [9] Deng Q. Research on ocean fish detection technology based on deep learning[D](2021).

    [10] Almero V J, Concepcion R, Rosales M et al. An aquaculture-based binary classifier for fish detection using multilayer artificial neural network[C](2019).

    [11] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[C], 2999-3007(2017).

    [12] Huang G, Liu Z, van der Maaten L et al. Densely connected convolutional networks[C], 2261-2269(2017).

    [14] Bodla N, Singh B, Chellappa R et al. Soft-NMS: improving object detection with one line of code[C], 5562-5570(2017).

    [16] Liu G J, Wang G H, Bi W H et al. Cloud detection algorithm of remote sensing image based on DenseNet and attention mechanism[J]. Remote Sensing for Natural Resources, 34, 88-96(2022).

    [17] Kim J, Yu S C. Convolutional neural network-based real-time ROV detection using forward-looking sonar image[C], 396-400(2016).

    [18] Zhang C J, Zhu L, Yu L. Review of attention mechanism in convolutional neural networks[J]. Computer Engineering and Applications, 57, 64-72(2021).

    [19] Liu J M, Xie W J, Huang H et al. Spatial and channel attention mechanism method for object tracking[J]. Journal of Electronics & Information Technology, 43, 2569-2576(2021).

    [20] Wang Y R, Liu Y Q, Huang L Y. Fish identification and detection method based on FML-Centernet algorithm[J]. Laser & Optoelectronics Progress, 59, 1615002(2022).

    [21] Li Q Z, Li Y B, Niu J. Real-time detection of underwater fish based on improved YOLO and transfer learning[J]. Pattern Recognition and Artificial Intelligence, 32, 193-203(2019).

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    Yingfeng Zhou, Rongfen Zhang, Yuhong Liu, Kuan Li. Marine Fish Detection Algorithm Based on RetinaNet[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010014

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    Paper Information

    Category: Image Processing

    Received: Dec. 27, 2021

    Accepted: Mar. 2, 2022

    Published Online: May. 10, 2023

    The Author Email: Yuhong Liu (1459539967@qq.com)

    DOI:10.3788/LOP213356

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