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Found 5 papers, 1 papers with code
TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words
In this paper, we propose to train a deep network to capture the spatial associations between different word pairs present in the table image for unravelling the table structure.
OSSR-PID: One-Shot Symbol Recognition in P&ID Sheets using Path Sampling and GCN
The proposed pipeline, named OSSR-PID, is fast and gives outstanding performance for recognition of symbols on a synthetic dataset of 100 P&ID diagrams.
Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams
A novel and efficient kernel-based line detection and a two-step method for detection of complex symbols based on a fine-grained deep recognition technique is presented in the paper.
TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images
This includes accurate detection of the tabular region within an image, and subsequently detecting and extracting information from the rows and columns of the detected table.
Ranked #3 on
Table Detection
on ICDAR2013
Automatic Information Extraction from Piping and Instrumentation Diagrams
To that end, we present a novel pipeline for information extraction from P&ID sheets via a combination of traditional vision techniques and state-of-the-art deep learning models to identify and isolate pipeline codes, pipelines, inlets and outlets, and for detecting symbols.
