Model card
CPPD.
UnknownunknownUnknown paramsUnknown1 current SOTA
CPPD: Context Perception Parallel Decoder for STR. ~8x faster than AR baselines. arxiv:2307.12270.
§ 02 · Benchmarks
Every benchmark CPPD has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | cute80 | Computer Vision · Scene Text Recognition | accuracy | 99.7% | #1 | 2023-07-23 | source ↗ |
| 02 | icdar2015 | Computer Vision · Optical Character Recognition | accuracy | 91.7% | #4 | 2023-07-23 | source ↗ |
| 03 | iiit5k | Computer Vision · Scene Text Recognition | accuracy | 99.3% | #5 | 2023-07-23 | source ↗ |
| 04 | svt | Computer Vision · Scene Text Recognition | accuracy | 98.5% | #5 | 2023-07-23 | source ↗ |
| 05 | svtp | Computer Vision · Scene Text Recognition | accuracy | 96.7% | #7 | 2023-07-23 | source ↗ |
| 06 | icdar-2013 | Computer Vision · Scene Text Detection | accuracy | 98.2% | #10 | 2023-07-23 | 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 CPPD actually performs.
§ 04 · Papers
2 papers with results for CPPD.
- 2023-07-23· Computer Vision· 1 result
Context Perception Parallel Decoder for Scene Text Recognition
- 2023-07-23· Computer Vision· 5 results
Context Perception Parallel Decoder for 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
5
results
arxiv
1
result
6 of 6 rows marked verified.