Model card
CCD-ViT-Base.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark CCD-ViT-Base has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | host | Computer Vision · Scene Text Recognition | 1-1-accuracy | 77.3% | #3 | 2022-11-01 | source ↗ |
| 02 | wost | Computer Vision · Scene Text Recognition | 1-1-accuracy | 86.0% | #5 | 2022-11-01 | source ↗ |
| 03 | svtp | Computer Vision · Scene Text Recognition | accuracy | 96.1% | #8 | 2022-11-01 | 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 CCD-ViT-Base actually performs.
§ 03 · Papers
1 paper with results for CCD-ViT-Base.
- 2022-11-01· Computer Vision· 3 results
Self-supervised Character-to-Character Distillation for Text Recognition
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
3
results
3 of 3 rows marked verified.