Abstract | ||
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This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images. We present the Rotation Region Proposal Networks, which are designed to generate inclined proposals with text orientation angle information. The angle information is then adapted for bounding box regression to make the proposals more accurately fit into the text region in terms of ... |
Year | DOI | Venue |
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2018 | 10.1109/TMM.2018.2818020 | IEEE Transactions on Multimedia |
Keywords | DocType | Volume |
Proposals,Image edge detection,Microsoft Windows,Task analysis,Robustness,Pipelines,Computer architecture | Journal | 20 |
Issue | ISSN | Citations |
11 | 1520-9210 | 82 |
PageRank | References | Authors |
2.35 | 49 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianqi Ma | 1 | 90 | 3.50 |
Weiyuan Shao | 2 | 90 | 3.84 |
Hao Ye | 3 | 86 | 2.79 |
Li Wang | 4 | 250 | 56.88 |
Hong Wang | 5 | 82 | 2.35 |
Yingbin Zheng | 6 | 191 | 16.70 |
Xiangyang Xue | 7 | 2466 | 154.25 |