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Found 7 papers, 2 papers with code
OCR-IDL: OCR Annotations for Industry Document Library Dataset
It is our hope that OCR-IDL can be a starting point for future works on Document Intelligence.
Hierarchical multimodal transformers for Multi-Page DocVQA
The proposed method is based on a hierarchical transformer architecture where the encoder summarizes the most relevant information of every page and then, the decoder takes this summarized information to generate the final answer.
ICDAR 2019 Competition on Scene Text Visual Question Answering
ST-VQA introduces an important aspect that is not addressed by any Visual Question Answering system up to date, namely the incorporation of scene text to answer questions asked about an image.
Multimodal grid features and cell pointers for Scene Text Visual Question Answering
This paper presents a new model for the task of scene text visual question answering, in which questions about a given image can only be answered by reading and understanding scene text that is present in it.
Document Collection Visual Question Answering
Current tasks and methods in Document Understanding aims to process documents as single elements.
ICDAR 2021 Competition on Document VisualQuestion Answering
In this report we present results of the ICDAR 2021 edition of the Document Visual Question Challenges.
Privacy-Aware Document Visual Question Answering
We employ a federated learning scheme, that reflects the real-life distribution of documents in different businesses, and we explore the use case where the ID of the invoice issuer is the sensitive information to be protected.
