Table Recognition2020en
pubtabnet
Dataset from Papers With Code
Metrics:accuracy, cer, wer, f1
teds-all-samples
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | MuTabNet | 96.87 | Apr 2024 | |
| 2 | TableMaster | 96.76 | May 2021 | |
| 3 | Multi-Task Learning Model | 96.67 | Mar 2023 | |
| 4 | ConvStem | 96.53 | Nov 2023 | |
| 5 | SLANet | 96.3 | Oct 2022 | |
| 6 | TRUST | 96.2 | Aug 2022 | |
| 7 | NCGM | 95.4 | Nov 2021 | |
| 8 | LGPMA | 94.6 | May 2021 | |
| 9 | SEM | 93.7 | Jul 2021 | |
| 10 | TabStruct-Net | 90.1 | Oct 2020 | |
| 11 | EDD | 88.3 | Nov 2019 |
teds-struct
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | Multi-Task Learning Model | 97.88 | Mar 2023 | |
| 2 | TSRFormer | 97.5 | Aug 2022 | |
| 3 | TRUST | 97.1 | Aug 2022 | |
| 4 | SLANet | 97.01 | Oct 2022 | |
| 5 | RTSR | 97 | Mar 2022 | |
| 6 | LGPMA | 96.7 | May 2021 | |
| 7 | TabStruct-Net | 90.1 | Oct 2020 |
Related Papers13
Multi-Cell Decoder and Mutual Learning for Table Structure and Character Recognition
Apr 2024Models: MuTabNet
High-Performance Transformers for Table Structure Recognition Need Early Convolutions
Nov 2023Models: ConvStem
An End-to-End Multi-Task Learning Model for Image-based Table Recognition
Mar 2023Models: Multi-Task Learning Model
PP-StructureV2: A Stronger Document Analysis System
Oct 2022Models: SLANet
TSRFormer: Table Structure Recognition with Transformers
Aug 2022Models: TSRFormer
Neural Collaborative Graph Machines for Table Structure Recognition
Nov 2021Models: NCGM
Split, embed and merge: An accurate table structure recognizer
Jul 2021Models: SEM
Table Structure Recognition using Top-Down and Bottom-Up Cues
Oct 2020Models: TabStruct-Net
Image-based table recognition: data, model, and evaluation
Nov 2019Models: EDD