Visual information extraction (VIE), which aims to simultaneously perform OCR and
information extraction in a unified framework, has drawn increasing attention due to its …

Due to the flexible representation of arbitrary-shaped scene text and simple pipeline, bottom-
up segmentation-based methods begin to be mainstream in real-time scene text detection …

Abstract Recent advanced Table Structure Recognition (TSR) models adopt image-to-text
solutions to parse table structure. These methods can be formulated as image caption …

Recently, generative Text-based visual question answering (TextVQA) methods, which are
often based on language models, have exhibited impressive results and drawn increasing …

Abstract Existing studies apply Large Language Model (LLM) to knowledge-based Visual
Question Answering (VQA) with encouraging results. Due to the insufficient input …

While texts related to images convey fundamental messages for scene understanding and
reasoning, text-based visual question answering tasks concentrate on visual questions that …

Reading order detection aims to arrange the text logically, which is essential in
understanding visual documents. Current methods mostly model the problem as a sequence …

Textbook question answering (TQA) task aims to infer answers for given questions from a
multimodal context, including text and diagrams. The existing studies have aggregated …

The application of text recognition in the automatic analysis of invoices, contracts and other
documents has significantly raised office efficiency, but the stamps overlapping with the texts …

Text detection in natural scenarios, has made significant progress with the deep learning
architecture. Towards arbitrary-shaped text detection, fracture detection is the major concern …