Scene Text Detection2020en
ic19-art
Dataset from Papers With Code
Metrics:accuracy, cer, wer, f1
Current State of the Art
CLIP4STR-L (DataComp-1B)
Unknown
86.4
accuracy
accuracy Progress Over Time
Showing 2 breakthroughs from Sep 2022 to May 2023
Key Milestones
Total Improvement
1.1%
Time Span
8m
Breakthroughs
2
Current SOTA
86.4
Top Models Performance Comparison
Top 4 models ranked by accuracy
Best Score
86.4
Top Model
CLIP4STR-L (DataC...
Models Compared
4
Score Range
0.900
accuracyPrimary
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | CLIP4STR-L (DataComp-1B) | 86.4 | May 2023 | |
| 2 | CLIP4STR-L | 85.9 | May 2023 | |
| 3 | CLIP4STR-B* | 85.8 | May 2023 | |
| 4 | MGP-STR | 85.5 | Sep 2022 |
h-mean
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | MixNet | 79.7 | Aug 2023 | |
| 2 | SRFormer (ResNet-50) | 79.3 | Aug 2023 | |
| 3 | TextFuseNet (ResNeXt-101) | 78.6 | TextFuseNet: Scene Text Detection with Richer Fused FeaturesCode | May 2020 |
| 4 | DPText-DETR (ResNet-50) | 78.1 | Jul 2022 |
Related Papers5
MixNet: Toward Accurate Detection of Challenging Scene Text in the Wild
Aug 2023Models: MixNet
SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression
Aug 2023Models: SRFormer (ResNet-50)
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model
May 2023Models: CLIP4STR-L (DataComp-1B), CLIP4STR-L, CLIP4STR-B*
Multi-Granularity Prediction for Scene Text Recognition
Sep 2022Models: MGP-STR
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer
Jul 2022Models: DPText-DETR (ResNet-50)