Model card
FTSN + MNMS.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark FTSN + MNMS has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | msra-td500 | Computer Vision · Scene Text Detection | recall | 77.1% | #17 | 2017-09-11 | source ↗ |
| 02 | msra-td500 | Computer Vision · Scene Text Detection | precision | 87.6% | #17 | 2017-09-11 | source ↗ |
| 03 | msra-td500 | Computer Vision · Scene Text Detection | f-measure | 82.0% | #18 | 2017-09-11 | source ↗ |
| 04 | ICDAR 2015 | Computer Vision · Scene Text Detection | precision | 88.6% | #25 | 2017-09-11 | source ↗ |
| 05 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure | 84.1% | #30 | 2017-09-11 | source ↗ |
| 06 | ICDAR 2015 | Computer Vision · Scene Text Detection | recall | 80.0% | #30 | 2017-09-11 | 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 · Strengths by area
Where FTSN + MNMS actually performs.
§ 04 · Papers
1 paper with results for FTSN + MNMS.
- 2017-09-11· Computer Vision· 6 results
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
§ 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.