0 citations
STAR-Net: A SpaTial Attention Residue Network for Scene Text Recognition
2016pp. 43.1–43.13
Citations Over TimeTop 10% of 2016 papers
Abstract
In this paper, we present a novel SpaTial Attention Residue Network (STAR-Net) for recognising \nscene texts. The overall architecture of our STAR-Net is illustrated in fig. 1. Our STARNet emphasises the importance of representative image-based feature extraction from text regions by the spatial attention mechanism and the residue learning strategy. It is by far the deepest neural network proposed for scene text recognition ...
Related Papers
- → An Object Detection and Pose Estimation Approach for Position Based Visual Servoing(2017)5 cited
- → Self-monitoring to improve robustness of 3D object tracking for robotics(2011)4 cited
- → Object-oriented stripe structured-light vision-guided robot(2017)2 cited
- → 3-D tracking of a moving object by an active stereo vision system(2002)9 cited
- → Robust object tracking based on RGB-D camera(2014)