Model card
SwinTextSpotter.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark SwinTextSpotter has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Total-Text | Computer Vision · Scene Text Detection | f-measure-full-lexicon | 84.1% | #6 | 2022-03-19 | source ↗ |
| 02 | Total-Text | Computer Vision · Scene Text Detection | f-measure-no-lexicon | 74.3% | #8 | 2022-03-19 | source ↗ |
| 03 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-strong-lexicon | 83.9% | #9 | 2022-03-19 | source ↗ |
| 04 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure-full-lexicon | 77.0% | #9 | 2022-03-19 | source ↗ |
| 05 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure-no-lexicon | 51.8% | #10 | 2022-03-19 | source ↗ |
| 06 | inverse-text | Computer Vision · Optical Character Recognition | f-measure-no-lexicon | 55.4% | #11 | 2022-03-19 | source ↗ |
| 07 | inverse-text | Computer Vision · Optical Character Recognition | f-measure-full-lexicon | 67.9% | #11 | 2022-03-19 | source ↗ |
| 08 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-generic-lexicon | 70.5% | #12 | 2022-03-19 | source ↗ |
| 09 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-weak-lexicon | 77.3% | #15 | 2022-03-19 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 02 · Strengths by area
Where SwinTextSpotter actually performs.
§ 03 · Papers
1 paper with results for SwinTextSpotter.
- 2022-03-19· Computer Vision· 9 results
SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
9
results
9 of 9 rows marked verified.