ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
GoMatching++: Parameter- and Data-Efficient Arbitrary-Shaped Video Text Spotting and Benchmarking
SemiETS: Integrating Spatial and Content Consistencies for Semi-Supervised End-to-end Text Spotting
TextInPlace: Indoor Visual Place Recognition in Repetitive Structures with Scene Text Spotting and Verification
OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models
InstructOCR: Instruction Boosting Scene Text Spotting
FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text Spotting
토론
이 논문과 연결된 포럼 글이 아직 없습니다.