most citedTextNet: Irregular Text Reading from Images with an End-to-End Trainable Network

3 citations · 5 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2019

ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVT

Yipeng Sun, Zihan Ni, Chee-Kheng Chng +9

Robust text reading from street view images provides valuable information for various applications. Performance improvement of existing methods in such a challenging scenario heavi…

cs.CV2019

ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

Chee-Kheng Chng, Yuliang Liu, Yipeng Sun +11

This paper reports the ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT) that consists of three major challenges: i) scene text detection, ii) scene text recogn…

cs.CV2019

Chinese Street View Text: Large-scale Chinese Text Reading with Partially Supervised Learning

Yipeng Sun, Jiaming Liu, Wei Liu +3

Most existing text reading benchmarks make it difficult to evaluate the performance of more advanced deep learning models in large vocabularies due to the limited amount of trainin…

cs.CV20192 cited

Detecting Text in the Wild with Deep Character Embedding Network

Jiaming Liu, Chengquan Zhang, Yipeng Sun +2

Most text detection methods hypothesize texts are horizontal or multi-oriented and thus define quadrangles as the basic detection unit. However, text in the wild is usually perspec…

cs.CV20183 cited

TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network

Yipeng Sun, Chengquan Zhang, Zuming Huang +3

Reading text from images remains challenging due to multi-orientation, perspective distortion and especially the curved nature of irregular text. Most of existing approaches attemp…