Model card
SRTS.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark SRTS 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 | 85.6% | #5 | 2022-07-15 | source ↗ |
| 02 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-weak-lexicon | 81.7% | #6 | 2022-07-15 | source ↗ |
| 03 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-generic-lexicon | 74.5% | #7 | 2022-07-15 | 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 SRTS.
- 2022-07-15· Computer Vision· 3 results
Single Shot Self-Reliant Scene Text Spotter by Decoupled yet Collaborative Detection and Recognition
§ 04 · Related models
Other Unknown models scored on Codesota.
fglihai
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SSTD
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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.