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Polygon-free: Unconstrained Scene Text Detection with Box Annotations. (arXiv:2011.13307v3 [cs.CV] UPDATED)
May 27, 2022, 1:12 a.m. | Weijia Wu, Enze Xie, Ruimao Zhang, Wenhai Wang, Hong Zhou, Ping Luo
cs.CV updates on arXiv.org arxiv.org
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 transfer knowledge from synthetic data to real
data to enhance …
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