Name
Title | ||
|---|---|---|
A New Anchor-Labeling Method For Oriented Text Detection Using Dense Detection Framework. |
Abstract | ||
|---|---|---|
This letter proposes a new method for dense scene text detection anchor box labeling using single-shot multibox detection (SSD) as the base framework and VGG16 as the backbone, enhanced for scene text detection. This method can be further generalized to other detection tasks with various aspect ratios. We argue that the IoU criterion used by the dense object detection framework may have low recall... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2018.2852954 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Labeling,Task analysis,Feature extraction,Machine learning,Neural networks,Training,Object detection | Object detection,Aspect ratio (image),Pattern recognition,Task analysis,Feature extraction,Artificial intelligence,Artificial neural network,Recall,Mathematics,Text detection | Journal |
Volume | Issue | ISSN |
25 | 9 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengzhe Yan | 1 | 0 | 0.68 |
| Kailun Wu | 2 | 1 | 2.71 |
| Changshui Zhang | 3 | 5506 | 323.40 |