Model card
SRN.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark SRN has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | benchmarking-chinese-text-recognition:-datasets,-b | Computer Vision · Optical Character Recognition | accuracy | 65.0% | #5 | 2020-03-27 | source ↗ |
| 02 | icdar2013 | Computer Vision · Optical Character Recognition | accuracy | 95.5% | #20 | 2020-03-27 | source ↗ |
| 03 | svt | Computer Vision · Scene Text Recognition | accuracy | 91.5% | #24 | 2020-03-27 | 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 SRN.
- 2020-03-27· Computer Vision· 3 results
Towards Accurate Scene Text Recognition with Semantic Reasoning Networks
§ 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.