Recognizing Text-Based Traffic Guide Panels with Cascaded Localization Network

By Xuejian Rong, Chucai Yi, Yingli Tian. 2016

55 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Xiang Bai
2. Cong Yao
3. Minghui Liao
4. Xin He
5. Mingkun Yang
6. Baoguang Shi
7. Song Bai
8. Yingying Zhu

In Media Technology

1. Cong Yao
2. Xiang Bai
3. Minghui Liao
4. Xin He
5. Baoguang Shi
6. Mingkun Yang
7. Gui-Song Xia
8. Zhen Zhu

Citations in the corpus

• TextBoxes++: A Single-Shot Oriented Scene Text Detector (2018, background): “Some applications of scene text detection and recognition are [1]–[4].”
• Rotation-Sensitive Regression for Oriented Scene Text Detection (2018, background): “Reading text in the wild is an active research field in computer vision, driven by many real-world applications such as license plate recognition [33], guide board recognition [37], and photo OCR [3].”
• Cascaded Segmentation-Detection Networks for Text-Based Traffic Sign Detection (2018, methodology): “THE LAST 3 METHODS IN THE TABLE ARE EVALUATED BY [13]”
• Symmetry-Constrained Rectification Network for Scene Text Recognition (2019, background): “Scene text reading [60, 32, 59, 54, 53, 36, 35] is an important, active research area in computer vision, which can be applied to a wide range of real-world applications, such as self-driving cars, assistant position systems, and guide board recognition [43].”