Model card
TextPerceptron.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark TextPerceptron has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure-no-lexicon | 57.0% | #8 | 2020-02-17 | source ↗ |
| 02 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-generic-lexicon | 65.1% | #16 | 2020-02-17 | source ↗ |
| 03 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-weak-lexicon | 76.6% | #16 | 2020-02-17 | source ↗ |
| 04 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-strong-lexicon | 80.5% | #17 | 2020-02-17 | 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 TextPerceptron actually performs.
§ 03 · Papers
1 paper with results for TextPerceptron.
- 2020-02-17· Computer Vision· 4 results
Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
4
results
4 of 4 rows marked verified.