Table Recognition
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Benchmarks
Most implemented
Image-based table recognition: data, model, and evaluation
Rethinking Table Recognition using Graph Neural Networks
Deep learning for table detection and structure recognition: A survey
ICDAR 2021 Competition on Scientific Literature Parsing
Papers
LLM-as-a-Judge Scores Are Unreliable Optimization Signals in Closed-Loop Table Recognition
LLM-as-a-judge is widely used to provide feedback and selection signals in closedloop regeneration, but this use remains insufficiently validated. We study it in table recognition, where deterministic TEDS evaluation pro…
Table RecognitionRevisiting Structural Dependency in Autoregressive Multi-Task Table Recognition via Order-Independent Cell-Level Representations
Multi-task table recognition jointly addresses table structure prediction, cell localization, and cell content recognition within a unified framework. Existing approaches often rely on autoregressive decoders to generate…
Table RecognitionTableSeq: Unified Generation of Structure, Content, and Layout
We present TableSeq, an image-only, end-to-end framework for joint table structure recognition, content recognition, and cell localization. The model formulates these tasks as a single sequence-generation problem: one de…
Table RecognitionDenTab: A Dataset for Table Recognition and Visual QA on Real-World Dental Estimates
Tables condense key transactional and administrative information into compact layouts, but practical extraction requires more than text recognition: systems must also recover structure (rows, columns, merged cells, heade…
Visual Question AnsweringTable RecognitionTDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment
Tables are pervasive in diverse documents, making table recognition (TR) a fundamental task in document analysis. Existing modular TR pipelines separately model table structure and content, leading to suboptimal integrat…
Table RecognitionYoutu-Parsing: Perception, Structuring and Recognition via High-Parallelism Decoding
This paper presents Youtu-Parsing, an efficient and versatile document parsing model designed for high-performance content extraction. The architecture employs a native Vision Transformer (ViT) featuring a dynamic-resolu…
Table Recognition