Object detection and location generally require multiple sensors and multiple deep networks to achieve. For a specific application scenario, this paper proposes an algorithm based on semantic segmentation to display object detection and location at the same time. Due to the small size of the target in the image, especially the vertex of the target occupies very few pixels, the HRnet semantic segmentation algorithm with higher resolution is adopted. Due to the unbalanced class distribution and the small number of training samples, data augmentation and Lovasz Softmax loss function are used in a targeted manner. After experimental verification, in this data set, HRnet is superior to other algorithms. And by using data augmentation and Lovasz Softmax loss function, the accuracy and IoU have been greatly improved, especially the target vertex area with few samples.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on Object Detection and Location Using Semantic Segmentation


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Wang, Wuhong (Herausgeber:in) / Chen, Yanyan (Herausgeber:in) / He, Zhengbing (Herausgeber:in) / Jiang, Xiaobei (Herausgeber:in) / Zhu, Huijie (Autor:in) / Cai, Yan (Autor:in) / Guo, Yingchun (Autor:in) / Feng, Xiang (Autor:in) / Zhang, Wenya (Autor:in)


    Erscheinungsdatum :

    14.12.2021


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Research on Object Detection and Location Using Semantic Segmentation

    Zhu, Huijie / Cai, Yan / Guo, Yingchun et al. | TIBKAT | 2022


    Research on Object Detection and Location Using Semantic Segmentation

    Zhu, Huijie / Cai, Yan / Guo, Yingchun et al. | British Library Conference Proceedings | 2022


    Visual Perception Stack for Autonomous Vehicle Using Semantic Segmentation and Object Detection

    Khanna, Manju / Tiwari, Tarun / Agarwal, Satyam et al. | IEEE | 2021


    Object Detection and Semantic Segmentation for a Small Low-cost Vehicle

    Stoll, Hannes / Sax, Eric | Springer Verlag | 2021


    SSA3D: Semantic Segmentation Assisted One-Stage Three-Dimensional Vehicle Object Detection

    Huang, Shangfeng / Cai, Guorong / Wang, Zongyue et al. | IEEE | 2022