Model card
CCD-ViT-Small.
UnknownunknownUnknown paramsUnknown4 current SOTA
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark CCD-ViT-Small has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | scene-text-recognition-benchmarks | Computer Vision · Optical Character Recognition | accuracy | 84.9% | #1 | 2022-11-01 | source ↗ |
| 02 | textseg | Computer Vision · Optical Character Recognition | iou | 84.8% | #1 | 2022-11-01 | source ↗ |
| 03 | textzoom | Computer Vision · Optical Character Recognition | average-psnr-db | 21.8% | #1 | 2022-11-01 | source ↗ |
| 04 | textzoom | Computer Vision · Optical Character Recognition | ssim | 0.8% | #1 | 2022-11-01 | source ↗ |
| 05 | svtp | Computer Vision · Scene Text Recognition | accuracy | 92.7% | #9 | 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.
§ 03 · Strengths by area
Where CCD-ViT-Small actually performs.
§ 04 · Papers
1 paper with results for CCD-ViT-Small.
- 2022-11-01· Computer Vision· 5 results
Self-supervised Character-to-Character Distillation for 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
5
results
5 of 5 rows marked verified.