Model card
PGNet.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark PGNet has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-strong-lexicon | 83.3% | #11 | 2021-04-12 | source ↗ |
| 02 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-weak-lexicon | 78.3% | #11 | 2021-04-12 | source ↗ |
| 03 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-generic-lexicon | 63.5% | #17 | 2021-04-12 | 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.
§ 03 · Papers
1 paper with results for PGNet.
- 2021-04-12· Computer Vision· 3 results
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
§ 04 · Related models
Other Unknown models scored on Codesota.
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WordSup (VGG16-synth-coco)
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
3
results
3 of 3 rows marked verified.