Model card
SLPR.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark SLPR has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | scut-ctw1500 | Computer Vision · Optical Character Recognition | precision | 80.1% | #17 | 2018-01-30 | source ↗ |
| 02 | scut-ctw1500 | Computer Vision · Optical Character Recognition | recall | 70.1% | #18 | 2018-01-30 | source ↗ |
| 03 | scut-ctw1500 | Computer Vision · Optical Character Recognition | f-measure | 74.8% | #19 | 2018-01-30 | source ↗ |
| 04 | ICDAR 2015 | Computer Vision · Scene Text Detection | recall | 83.6% | #20 | 2018-01-04 | source ↗ |
| 05 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure | 84.5% | #27 | 2018-01-04 | source ↗ |
| 06 | ICDAR 2015 | Computer Vision · Scene Text Detection | precision | 85.5% | #32 | 2018-01-04 | 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.
§ 04 · Papers
2 papers with results for SLPR.
- 2018-01-30· Computer Vision· 3 results
Sliding Line Point Regression for Shape Robust Scene Text Detection
- 2018-01-04· Computer Vision· 3 results
PixelLink: Detecting Scene Text via Instance Segmentation
§ 05 · Related models
Other Unknown models scored on Codesota.
CRAFT
Unknown params · 21 results
GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · Sources & freshness
Where these numbers come from.
papers-with-code
6
results
6 of 6 rows marked verified. · first result 2018-01-04, latest 2018-01-30.