Model card
WordSup (VGG16-synth-icdar).
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark WordSup (VGG16-synth-icdar) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | icdar-2013 | Computer Vision · Scene Text Detection | f-measure | 90.3% | #4 | 2017-08-22 | source ↗ |
| 02 | icdar-2013 | Computer Vision · Scene Text Detection | precision | 93.3% | #5 | 2017-08-22 | source ↗ |
| 03 | icdar-2013 | Computer Vision · Scene Text Detection | recall | 87.5% | #5 | 2017-08-22 | source ↗ |
| 04 | ICDAR 2015 | Computer Vision · Scene Text Detection | recall | 77.0% | #37 | 2017-03-19 | source ↗ |
| 05 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure | 78.2% | #39 | 2017-03-19 | source ↗ |
| 06 | ICDAR 2015 | Computer Vision · Scene Text Detection | precision | 79.3% | #39 | 2017-03-19 | 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 WordSup (VGG16-synth-icdar) actually performs.
§ 03 · Papers
2 papers with results for WordSup (VGG16-synth-icdar).
- 2017-08-22· Computer Vision· 3 results
WordSup: Exploiting Word Annotations for Character based Text Detection
- 2017-03-19· Computer Vision· 3 results
Detecting Oriented Text in Natural Images by Linking Segments
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
6
results
6 of 6 rows marked verified. · first result 2017-03-19, latest 2017-08-22.