Model card
Yao et al..
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark Yao et al. has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | coco-text | Computer Vision · Scene Text Detection | precision | 43.2% | #6 | 2016-06-29 | source ↗ |
| 02 | coco-text | Computer Vision · Scene Text Detection | recall | 27.1% | #6 | 2016-06-29 | source ↗ |
| 03 | coco-text | Computer Vision · Scene Text Detection | f-measure | 33.3% | #17 | 2016-06-29 | 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 Yao et al..
- 2016-06-29· Computer Vision· 3 results
Scene Text Detection via Holistic, Multi-Channel Prediction
§ 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.