Table Detection
20 papers with code • 3 benchmarks • 9 datasets
Benchmarks
These leaderboards are used to track progress in Table Detection
| Trend | Dataset | Best Model | Paper | Code | Compare |
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ICDAR 2013
FUNSD
SciTSR
PubTables-1M
TableBank
IIIT-AR-13K
TNCR Dataset
ICDAR 2019
STDW
Latest papers with no code
TC-OCR: TableCraft OCR for Efficient Detection & Recognition of Table Structure & Content
Our proposed approach achieves an IOU of 0. 96 and an OCR Accuracy of 78%, showcasing a remarkable improvement of approximately 25% in the OCR Accuracy compared to the previous Table Transformer approach.
Enhancing Vision-Language Pre-training with Rich Supervisions
We propose Strongly Supervised pre-training with ScreenShots (S4) - a novel pre-training paradigm for Vision-Language Models using data from large-scale web screenshot rendering.
ClusterTabNet: Supervised clustering method for table detection and table structure recognition
We present a novel deep-learning-based method to cluster words in documents which we apply to detect and recognize tables given the OCR output.
TDeLTA: A Light-weight and Robust Table Detection Method based on Learning Text Arrangement
The diversity of tables makes table detection a great challenge, leading to existing models becoming more tedious and complex.
A Review On Table Recognition Based On Deep Learning
The third part is the End-to-End method, this section introduces some scholars' attempts to use an end-to-end approach to solve the table recognition problem once and for all and the part are Data-centric methods, such as data augmentation, aligning benchmarks, and other methods.
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer
Table detection is the task of classifying and localizing table objects within document images.
Revisiting Table Detection Datasets for Visually Rich Documents
Moreover, to enrich the data sources, we propose a new ICT-TD dataset using the PDF files of Information and Communication Technologies (ICT) commodities, a different domain containing unique samples that hardly appear in open datasets.
TRACE: Table Reconstruction Aligned to Corner and Edges
In this work, we analyze the natural characteristics of a table, where a table is composed of cells and each cell is made up of borders consisting of edges.
TRR360D: A dataset for 360 degree rotated rectangular box table detection
To address the problem of scarcity and high annotation costs of rotated image table detection datasets, this paper proposes a method for building a rotated image table detection dataset.
Semantic Table Detection with LayoutLMv3
This paper presents an application of the LayoutLMv3 model for semantic table detection on financial documents from the IIIT-AR-13K dataset.
