Detector Algorithms of Bounding Box and Segmentation Mask of a Mask R-CNN Model

Haruhiro Fujita; Masatoshi Itagaki; Yew Kwang Hooi; Kenta Ichikawa; Kazutaka Kawano; Ryo Yamamoto

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arXiv · 2010.13783

Detector Algorithms of Bounding Box and Segmentation Mask of a Mask R-CNN Model

Haruhiro Fujita·Masatoshi Itagaki·Yew Kwang Hooi·Kenta Ichikawa·Kazutaka Kawano·Ryo Yamamoto

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Abstract

Detection performances on bounding box and segmentation mask outputs of Mask R-CNN models are evaluated. There are significant differences in detection performances of bounding boxes and segmentation masks, where the former is constantly superior to the latter. Harmonic values of precisions and recalls of linear cracks, joints, fillings, and shadows are significantly lower in segmentation masks than bounding boxes. Other classes showed similar harmonic values. Discussions are made on different performances of detection metrics of bounding boxes and segmentation masks focusing on detection algorithms of both detectors.

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Haruhiro Fujita, Masatoshi Itagaki, Yew Kwang Hooi, Kenta Ichikawa, Kazutaka Kawano, Ryo Yamamoto. 2020-10-26. Detector Algorithms of Bounding Box and Segmentation Mask of a Mask R-CNN Model. https://arxiv.org/abs/2010.13783

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