Optical Character Recognition2020en
bbcsport
Dataset from Papers With Code
Metrics:accuracy, cer, wer, f1
Current State of the Art
MPAD-path
Unknown
99.59
accuracy
accuracy Progress Over Time
Showing 2 breakthroughs from Apr 2019 to Aug 2019
Key Milestones
Total Improvement
4.0%
Time Span
4m
Breakthroughs
2
Current SOTA
99.6
Top Models Performance Comparison
Top 4 models ranked by accuracy
Best Score
99.6
Top Model
MPAD-path
Models Compared
4
Score Range
4.4
accuracyPrimary
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | MPAD-path | 99.59 | Aug 2019 | |
| 2 | Orthogonalized Soft VSM | 97.73 | Mar 2020 | |
| 3 | ApproxRepSet | 95.73 | Apr 2019 | |
| 4 | REL-RWMD k-NN | 95.18 | Dec 2019 |
Related Papers4
Text classification with word embedding regularization and soft similarity measure
Mar 2020Models: Orthogonalized Soft VSM
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings
Dec 2019Models: REL-RWMD k-NN
Message Passing Attention Networks for Document Understanding
Aug 2019Models: MPAD-path
Rep the Set: Neural Networks for Learning Set Representations
Apr 2019Models: ApproxRepSet