Image captioning is characterized as the cycle of producing inscriptions or printed depictions for pictures dependent on the substance of the picture. It is an AI task that includes both normal language proceedings furthermore, PC vision (for understanding picture substance). Auto picture inscribing is an ongoing and developing exploration issue these days. Step by step different new strategies are being presented to accomplish acceptable outcomes in this field. Be that as it may, there are still loads of consideration needed to accomplish results comparable to a human. This examination plans to discover in a deliberate manner that what unique and ongoing techniques and models are utilized for picture inscribing utilizing profound learning? What strategies are actualized to utilize those models? Furthermore, what strategies are bound to give great outcomes. For doing so, done an efficient writing audit on ongoing examinations from 2015 to 2020 from well-known information bases.


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    Titel :

    A Systematic Literature Review on Story-Telling for Kids using Image Captioning - Deep Learning


    Beteiligte:
    Haritha, P. (Autor:in) / Vimala, S. (Autor:in) / Malathi, S. (Autor:in)


    Erscheinungsdatum :

    2020-11-05


    Format / Umfang :

    169258 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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