5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition
Mingkun Yang, Minghui Liao, Pu Lu +5
Existing text recognition methods usually need large-scale training data. Most of them rely on synthetic training data due to the lack of annotated real images. However, there is a…
cs.CV2019★ 5 cited
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting
Hao Wang, Pu Lu, Hui Zhang +6
Recently, end-to-end text spotting that aims to detect and recognize text from cluttered images simultaneously has received particularly growing interest in computer vision. Differ…