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Polygon-free: Unconstrained Scene Text Detection with Box Annotations
[article]
2022
arXiv
pre-print
Although a polygon is a more accurate representation than an upright bounding box for text detection, the annotations of polygons are extremely expensive and challenging. Unlike existing works that employ fully-supervised training with polygon annotations, this study proposes an unconstrained text detection system termed Polygon-free (PF), in which most existing polygon-based text detectors (e.g., PSENet [33],DB [16]) are trained with only upright bounding box annotations. Our core idea is to
arXiv:2011.13307v3
fatcat:xwzeylglofckrmarmiy3ru44zu