TextTubes for Detecting Curved Text in the Wild
2019-12-19Code Available0· sign in to hype
Joël Seytre, Jon Wu, Alessandro Achille
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Abstract
We present a detector for curved text in natural images. We model scene text instances as tubes around their medial axes and introduce a parametrization-invariant loss function. We train a two-stage curved text detector, and evaluate it on the curved text benchmarks CTW-1500 and Total-Text. Our approach achieves state-of-the-art results or improves upon them, notably for CTW-1500 by over 8 percentage points in F-score.