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Doctor: A Dataset for VIA on Document Images Mines Mathew1 Demosthenes Karatzas2 C.V. Jawahar1 1 2 CVT, IIT Hyderabad, India Computer Vision Center, UAB, Spain minesh.mathew@research.iiit.ac.in, dimos@cvc.uab.es,
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DOCVA IEEE Winter Conference is relevant for researchers, academicians, and professionals in the field of computer vision and artificial intelligence.
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The docvqa IEEE Winter Conference is an academic event focused on advancements in document visual question answering technologies, highlighting research, innovations, and potential applications in machine learning and artificial intelligence.
Researchers, practitioners, and attendees involved in the presentation of papers or posters related to document visual question answering technologies at the conference are required to file the necessary documents.
To fill out the docvqa IEEE Winter Conference filing, participants should provide their author information, manuscript details, affiliations, and any required disclosures. Templates and guidelines are usually provided on the conference's official website.
The purpose of the docvqa IEEE Winter Conference is to bring together researchers and industry professionals to share their latest findings, foster collaboration, and discuss challenges and opportunities in the field of document visual question answering.
Information that must be reported includes the title of the paper, author names, affiliations, contact information, an abstract, keywords, and data related to research methodologies and findings.
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