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

Autor:	Fujita, Haruhiro, Itagaki, Masatoshi, Hooi, Yew Kwang, Ichikawa, Kenta, Kawano, Kazutaka, Yamamoto, Ryo
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
Popis:	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. Comment: 8 pages, 9 figures, 4 tables. arXiv admin note: text overlap with arXiv:2010.11464
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2010.13783 Zobrazit plný text záznamu View this record from Arxiv