Model card
Quad_MS.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark Quad_MS has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ICDAR 2015 | Computer Vision · Scene Text Detection | precision | 87.8% | #27 | 2018-01-09 | source ↗ |
| 02 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure | 82.9% | #33 | 2018-01-09 | source ↗ |
| 03 | ICDAR 2015 | Computer Vision · Scene Text Detection | recall | 78.5% | #33 | 2018-01-09 | 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 Quad_MS.
- 2018-01-09· Computer Vision· 3 results
TextBoxes++: A Single-Shot Oriented Scene Text Detector
§ 04 · Related models
Other Unknown models scored on Codesota.
fglihai
Unknown params · 6 results · 1 SOTA
CLIP4STR-L
Unknown params · 1 result · 1 SOTA
USYD NLP_CS29-2
Unknown params · 6 results
Corner-based Region Proposals
Unknown params · 3 results
EAST + VGG16
Unknown params · 3 results
SSTD
Unknown params · 3 results
TextBoxes++_MS
Unknown params · 3 results
WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
3
results
3 of 3 rows marked verified.