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Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning
[article]
2019
arXiv
pre-print
Detecting curved text in the wild is very challenging. Recently, most state-of-the-art methods are segmentation based and require pixel-level annotations. We propose a novel scheme to train an accurate text detector using only a small amount of pixel-level annotated data and a large amount of data annotated with rectangles or even unlabeled data. A baseline model is first obtained by training with the pixel-level annotated data and then used to annotate unlabeled or weakly labeled data. A novel
arXiv:1908.09990v1
fatcat:vk4qicccg5bvpkdtogaolsdib4