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ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment

arXiv 2107.05279 ↗First posted 12 Jul 2021cs.CVcited by 0

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Abstract (arXiv)

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 effective way of inspecting the quality of printed texts on chip components. The major problem that deters this area of research is the lacking of realistic text on chips datasets to act as a strong foundation. Hence, a text on chips dataset, ICText is used as the main target for the proposed Robust Reading Challenge on Integrated Circuit Text Spotting and Aesthetic Assessment (RRC-ICText) 2021 to encourage the research on this problem. Throughout the entire competition, we have received a total of 233 submissions from 10 unique teams/individuals. Details of the competition and submission results are presented in this report.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 29 references that are in the map. First posted on arXiv 12 Jul 2021.

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References · 12

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  2. 2017Mask R-CNNcited by 7,259
  3. 2016Synthetic Data for Text Localisation in Natural Imagescited by 396
  4. 2019ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text (RRC-ArT)cited by 147
  5. 2019ICDAR 2019 Competition on Large-scale Street View Text with Partial Labeling -- RRC-LSVTcited by 121
  6. 2018Scene Text Detection and Recognition: The Deep Learning Eracited by 114
  7. 2020TIDE: A General Toolbox for Identifying Object Detection Errorscited by 113
  8. 2019Editing Text in the Wildcited by 81
  9. 2020Text Recognition in the Wild: A Surveycited by 29
  10. 2019Online PCB Defect Detector On A New PCB Defect Datasetcited by 25
  11. 2020Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Imagescited by 3
  12. 20211st Place Solution to ICDAR 2021 RRC-ICTEXT End-to-end Text Spotting and Aesthetic Assessment on Integrated Circuitcited by 1

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