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20192024
most citedICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)

30 citations · 56 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Text in the Dark: Extremely Low-Light Text Image Enhancement

Che-Tsung Lin, Chun Chet Ng, Zhi Qin Tan +7

Extremely low-light text images are common in natural scenes, making scene text detection and recognition challenging. One solution is to enhance these images using low-light image…

cs.CV2021

ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment

Chun Chet Ng, Akmalul Khairi Bin Nazaruddin, Yeong Khang Lee +6

With hundreds of thousands of electronic chip components are being manufactured every day, chip manufacturers have seen an increasing demand in seeking a more efficient and effecti…

cs.CV2020★ 13 cited

On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering

Xinyu Wang, Yuliang Liu, Chunhua Shen +6

Visual Question Answering (VQA) methods have made incredible progress, but suffer from a failure to generalize. This is visible in the fact that they are vulnerable to learning coi…

cs.CV2019★ 12 cited

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★ 30 cited

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…