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  1. No Access

    Article

    Root identification in minirhizotron imagery with multiple instance learning

    In this paper, multiple instance learning (MIL) algorithms to automatically perform root detection and segmentation in minirhizotron imagery using only image-level labels are proposed. Root and soil characteri...

    Guohao Yu, Alina Zare, Hudanyun Sheng, Roser Matamala… in Machine Vision and Applications (2020)

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    Chapter and Conference Paper

    Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM

    We present a multiple instance learning class activation map (MIL-CAM) approach for pixel-level minirhizotron image segmentation given weak image-level labels. Minirhizotrons are used to image plant roots in situ

    Guohao Yu, Alina Zare, Weihuang Xu, Roser Matamala… in Computer Vision – ECCV 2020 Workshops (2020)

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    Chapter

    Addressing the Inevitable Imprecision: Multiple Instance Learning for Hyperspectral Image Analysis

    In many remote sensing and hyperspectral image analysis applications,  ground truth information is unavailable or impossible to obtain. Imprecision in ground truth often results from highly mixed or sub-  spe...

    Changzhe Jiao, **aoxiao Du, Alina Zare in Hyperspectral Image Analysis (2020)