Model card
OrigamiNet-12.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark OrigamiNet-12 has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | iam(line-level) | Computer Vision · Optical Character Recognition | test-cer | 6.0% | #2 | 2020-06-12 | source ↗ |
| 02 | iam(line-level) | Computer Vision · Optical Character Recognition | test-wer | 22.3% | #2 | 2020-06-12 | source ↗ |
| 03 | lam(line-level) | Computer Vision · Optical Character Recognition | test-cer | 3.1% | #3 | 2020-06-12 | source ↗ |
| 04 | lam(line-level) | Computer Vision · Optical Character Recognition | test-wer | 11.2% | #3 | 2020-06-12 | 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.
§ 02 · Strengths by area
Where OrigamiNet-12 actually performs.
§ 03 · Papers
1 paper with results for OrigamiNet-12.
- 2020-06-12· Computer Vision· 4 results
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
4
results
4 of 4 rows marked verified.