Optical Character Recognition2020en
benchmarking-chinese-text-recognition:-datasets,-b
Dataset from Papers With Code
Metrics:accuracy, cer, wer, f1
Current State of the Art
DTrOCR
Unknown
89.6
accuracy
accuracy Progress Over Time
Showing 5 breakthroughs from Jan 2019 to Aug 2023
Key Milestones
Jan 2019
MORAN
From paper: A Multi-Object Rectified Attention Network for Scene Text Recognition
64.3
Mar 2020
SRN
From paper: Towards Accurate Scene Text Recognition with Semantic Reasoning Networks
65.0
+1.1%
Jun 2021
TransOCR
From paper: Scene Text Telescope: Text-Focused Scene Image Super-Resolution
72.8
+12.0%
Jun 2022
MaskOCR-L
From paper: MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining
82.6
+13.5%
Aug 2023
DTrOCRCurrent SOTA
From paper: DTrOCR: Decoder-only Transformer for Optical Character Recognition
89.6
+8.5%
Total Improvement
39.3%
Time Span
4y 8m
Breakthroughs
5
Current SOTA
89.6
Top Models Performance Comparison
Top 7 models ranked by accuracy
Best Score
89.6
Top Model
DTrOCR
Models Compared
7
Score Range
28.4
accuracyPrimary
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | DTrOCR | 89.6 | Aug 2023 | |
| 2 | DTrOCR 105M | 89.6 | Aug 2023 | |
| 3 | MaskOCR-L | 82.6 | Jun 2022 | |
| 4 | TransOCR | 72.8 | Scene Text Telescope: Text-Focused Scene Image Super-ResolutionCode | Jun 2021 |
| 5 | SRN | 65 | Mar 2020 | |
| 6 | MORAN | 64.3 | Jan 2019 | |
| 7 | SEED | 61.2 | May 2020 |
Related Papers5
DTrOCR: Decoder-only Transformer for Optical Character Recognition
Aug 2023Models: DTrOCR, DTrOCR 105M
MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining
Jun 2022Models: MaskOCR-L
A Multi-Object Rectified Attention Network for Scene Text Recognition
Jan 2019Models: MORAN