Model card
CSTR.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark CSTR has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | icdar-2003 | Computer Vision · Scene Text Recognition | accuracy | 94.8% | #6 | 2021-02-22 | source ↗ |
| 02 | icdar2015 | Computer Vision · Optical Character Recognition | accuracy | 81.6% | #18 | 2021-02-22 | source ↗ |
| 03 | icdar2013 | Computer Vision · Optical Character Recognition | accuracy | 93.2% | #24 | 2021-02-22 | source ↗ |
| 04 | svt | Computer Vision · Scene Text Recognition | accuracy | 90.6% | #26 | 2021-02-22 | 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
1 paper with results for CSTR.
- 2021-02-22· Computer Vision· 4 results
Revisiting Classification Perspective on Scene Text Recognition
§ 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
4
results
4 of 4 rows marked verified.