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To address these problems, we propose a novel Progressive Scale Expansion Network (PSENet), designed as a segmentation-based detector with multiple predictions for each text instance.
Ranked #6 on Scene Text Detection on SCUT-CTW1500
Text in curve orientation, despite being one of the common text orientations in real world environment, has close to zero existence in well received scene text datasets such as ICDAR2013 and MSRA-TD500.
Ranked #15 on Scene Text Detection on Total-Text
To raise the concerns of reading curve text in the wild, in this paper, we construct a curve text dataset named CTW1500, which includes over 10k text annotations in 1, 500 images (1000 for training and 500 for testing).
Ranked #3 on Curved Text Detection on SCUT-CTW1500
It achieves an f-measure of 75. 0% on the standard ICDAR 2015 Incidental (Challenge 4) benchmark, outperforming the previous best by a large margin.
Ranked #9 on Scene Text Detection on MSRA-TD500