Model card
UNITS.
UnknownunknownUnknown paramsUnknown3 current SOTA
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark UNITS 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 | 89.0% | #1 | 2023-04-07 | source ↗ |
| 02 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-weak-lexicon | 84.1% | #1 | 2023-04-07 | source ↗ |
| 03 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure-generic-lexicon | 80.3% | #1 | 2023-04-07 | source ↗ |
| 04 | Total-Text | Computer Vision · Scene Text Detection | f-measure-full-lexicon | 86.0% | #4 | 2023-04-07 | source ↗ |
| 05 | Total-Text | Computer Vision · Scene Text Detection | f-measure-no-lexicon | 78.7% | #5 | 2023-04-07 | 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 UNITS actually performs.
§ 04 · Papers
1 paper with results for UNITS.
- 2023-04-07· Computer Vision· 5 results
Towards Unified Scene Text Spotting based on Sequence Generation
§ 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
5
results
5 of 5 rows marked verified.