Model card
PSENet-1s.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark PSENet-1s has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | icdar-2017-mlt | Computer Vision · Scene Text Detection | f-measure | 72.5% | #10 | 2018-06-07 | source ↗ |
| 02 | icdar-2017-mlt | Computer Vision · Scene Text Detection | recall | 68.4% | #11 | 2018-06-07 | source ↗ |
| 03 | scut-ctw1500 | Computer Vision · Optical Character Recognition | recall | 79.9% | #15 | 2018-06-07 | source ↗ |
| 04 | icdar-2017-mlt | Computer Vision · Scene Text Detection | precision | 77.0% | #16 | 2018-06-07 | source ↗ |
| 05 | scut-ctw1500 | Computer Vision · Optical Character Recognition | precision | 82.5% | #16 | 2018-06-07 | source ↗ |
| 06 | ICDAR 2015 | Computer Vision · Scene Text Detection | recall | 84.5% | #17 | 2019-03-28 | source ↗ |
| 07 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure | 81.2% | #17 | 2018-06-07 | source ↗ |
| 08 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure | 85.7% | #25 | 2019-03-28 | source ↗ |
| 09 | ICDAR 2015 | Computer Vision · Scene Text Detection | precision | 86.9% | #28 | 2019-03-28 | 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
2 papers with results for PSENet-1s.
- 2019-03-28· Computer Vision· 3 results
Shape Robust Text Detection with Progressive Scale Expansion Network
- 2018-06-07· Computer Vision· 6 results
Shape Robust Text Detection with Progressive Scale Expansion Network
§ 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. · first result 2018-06-07, latest 2019-03-28.