Model card
Corner-based Region Proposals.
UnknownunknownUnknown paramsUnknown1 current SOTA
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark Corner-based Region Proposals has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | coco-text | Computer Vision · Scene Text Detection | recall | 63.3% | #1 | 2018-04-08 | source ↗ |
| 02 | coco-text | Computer Vision · Scene Text Detection | precision | 55.5% | #2 | 2018-04-08 | source ↗ |
| 03 | icdar-2013 | Computer Vision · Scene Text Detection | precision | 91.9% | #8 | 2018-04-08 | source ↗ |
| 04 | coco-text | Computer Vision · Scene Text Detection | f-measure | 59.1% | #9 | 2018-04-08 | source ↗ |
| 05 | icdar-2013 | Computer Vision · Scene Text Detection | f-measure | 87.6% | #9 | 2018-04-08 | source ↗ |
| 06 | icdar-2013 | Computer Vision · Scene Text Detection | recall | 83.9% | #10 | 2018-04-08 | source ↗ |
| 07 | ICDAR 2015 | Computer Vision · Scene Text Detection | precision | 88.7% | #23 | 2018-04-08 | source ↗ |
| 08 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure | 84.5% | #27 | 2018-04-08 | source ↗ |
| 09 | ICDAR 2015 | Computer Vision · Scene Text Detection | recall | 80.7% | #27 | 2018-04-08 | 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 Corner-based Region Proposals actually performs.
§ 03 · Papers
1 paper with results for Corner-based Region Proposals.
- 2018-04-08· Computer Vision· 9 results
Detecting Multi-Oriented Text with Corner-based Region Proposals
§ 04 · Related models
Other Unknown models scored on Codesota.
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Yao et al.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
9
results
9 of 9 rows marked verified.