Abstract | ||
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•An efficient and effective model is proposed for multi-scale scene text detection.•A grouped pyramid module is used to group basic layers for more accurate detection.•The pyramid module includes a top-down partition and a bottom-up group.•PyrBoxes achieves the state-of-the-art performance with a significantly faster speed.•The generality of PyrBoxes is verified by a newly constructed Chinese text dataset. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.patrec.2019.04.022 | Pattern Recognition Letters |
Keywords | Field | DocType |
41A05,41A10,65D05,65D17 | Pattern recognition,Inference,Append,Artificial intelligence,Pyramid,Partition (number theory),Detector,Generality,Semantics,Recursion,Mathematics | Journal |
Volume | ISSN | Citations |
125 | 0167-8655 | 1 |
PageRank | References | Authors |
0.43 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fenfen Sheng | 1 | 1 | 0.43 |
Zhineng Chen | 2 | 192 | 25.29 |
Wei Zhang | 3 | 4 | 1.98 |
Bo Xu | 4 | 111 | 27.31 |