Transcription of PixelLink: Detecting Scene Text via Instance Segmentation
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PixelLink: Detecting Scene Text via Instance Segmentation
pixellink : Detecting Scene Text via Instance SegmentationDan Deng1,3 ,Haifeng Liu1,Xuelong Li4,Deng Cai1,21 State Key Lab of CAD&CG, College of Computer Science, Zhejiang University2 Alibaba-Zhejiang University Joint Institute of Frontier Technologies3 CVTE Research4Xi an Institute of Optics and Precision Mechanics, Chinese Academy of state-of-the-art Scene text detection algorithms are deeplearning based methods that depend on bounding box regres-sion and perform at least two kinds of predictions: text/non-text classification and location regression. Regression plays akey role in the acquisition of bounding boxes in these meth-ods, but it is not indispensable because text/non-text predic-tion can also be considered as a kind of semantic segmenta-tion that contains full location information in itself.
PixelLink: Detecting Scene Text via Instance Segmentation Dan Deng 1;3, Haifeng Liu , Xuelong Li4, Deng Cai1;2 1State Key Lab of CAD&CG, College of Computer Science, Zhejiang University 2Alibaba-Zhejiang University Joint Institute of Frontier Technologies 3CVTE Research 4Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences ...
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