ICDAR 2021 Competition on Document VisualQuestion Answering
arXiv:2111.05547
Abstract
In this report we present results of the ICDAR 2021 edition of the Document Visual Question Challenges. This edition complements the previous tasks on Single Document VQA and Document Collection VQA with a newly introduced on Infographics VQA. Infographics VQA is based on a new dataset of more than 5,000 infographics images and 30,000 question-answer pairs. The winner methods have scored 0.6120 ANLS in Infographics VQA task, 0.7743 ANLSL in Document Collection VQA task and 0.8705 ANLS in Single Document VQA. We present a summary of the datasets used for each task, description of each of the submitted methods and the results and analysis of their performance. A summary of the progress made on Single Document VQA since the first edition of the DocVQA 2020 challenge is also presented.
References in corpus (8)
- VQA: Visual Question Answering
- COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images
- FigureQA: An Annotated Figure Dataset for Visual Reasoning
- StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
- Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
- LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
- Document Collection Visual Question Answering
- Document Visual Question Answering Challenge 2020