A target recognition method and device based on a MASK RCNN network model are disclosed. The method comprises: determining a multi-stage network as a basic network; selecting at least one intermediate layer capable of extracting a feature map from the basic network, and inputting respectively a feature map output by the intermediate layer and a feature map output by an end layer of the basic network to corresponding MASK RCNN recognition networks to construct a network model based on the MASK RCNN, wherein the feature map output by the intermediate layer and the feature map output by the end layer have different sizes; training the MASK RCNN recognition networks with a data set and stopping training until a preset training end condition is satisfied; and recognizing the target using the MASK RCNN recognition networks after trained. This solution is very suitable for small target recognition of a flying UAV.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Target recognition method and device based on MASK RCNN network model


    Beteiligte:
    SONG XIUFENG (Autor:in)

    Erscheinungsdatum :

    27.06.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06V / B64C AEROPLANES , Flugzeuge / B64U



    TARGET RECOGNITION METHOD AND DEVICE BASED ON MASK RCNN NETWORK MODEL

    SONG XIUFENG | Europäisches Patentamt | 2022

    Freier Zugriff

    Lane Tracking with Deep Learning: Mask RCNN and Faster RCNN

    Ortatas, Fatma Nur / Cetin, Emrah | IEEE | 2022



    Enhanced Mask-RCNN for Ship Detection and Segmentation

    Rakhi, Anusree Mondal / Dhorajiya, Arya P. / Saranya, P. | Springer Verlag | 2022