FastTab combines a Tiny Recursive Module and axial 1D Transformer encoders to predict table grids, headers, and cell spans directly, achieving competitive accuracy on four benchmarks with low-latency inference.
arXiv:2208.14687 (2022)
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TableSeq unifies table structure recognition, content extraction, and cell localization by generating an interleaved autoregressive sequence of HTML tags, cell text, and discretized coordinate tokens from an input image.
Survey proposing a taxonomy for document parsing into pipeline-based systems and VLM-driven unified models, reviewing components, metrics, benchmarks, and challenges.
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FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformers
FastTab combines a Tiny Recursive Module and axial 1D Transformer encoders to predict table grids, headers, and cell spans directly, achieving competitive accuracy on four benchmarks with low-latency inference.
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TableSeq: Unified Generation of Structure, Content, and Layout
TableSeq unifies table structure recognition, content extraction, and cell localization by generating an interleaved autoregressive sequence of HTML tags, cell text, and discretized coordinate tokens from an input image.
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Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction
Survey proposing a taxonomy for document parsing into pipeline-based systems and VLM-driven unified models, reviewing components, metrics, benchmarks, and challenges.