Model card
DPAN.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark DPAN has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | icdar2013 | Computer Vision · Optical Character Recognition | accuracy | 97.7% | #11 | 2021-08-01 | source ↗ |
| 02 | cute80 | Computer Vision · Scene Text Recognition | accuracy | 91.9% | #16 | 2021-08-01 | source ↗ |
| 03 | icdar2015 | Computer Vision · Optical Character Recognition | accuracy | 85.5% | #16 | 2021-08-01 | source ↗ |
| 04 | svtp | Computer Vision · Scene Text Recognition | accuracy | 89.0% | #17 | 2021-08-01 | source ↗ |
| 05 | iiit5k | Computer Vision · Scene Text Recognition | accuracy | 96.2% | #18 | 2021-08-01 | source ↗ |
| 06 | svt | Computer Vision · Scene Text Recognition | accuracy | 93.9% | #19 | 2021-08-01 | 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 · Papers
1 paper with results for DPAN.
- 2021-08-01· Computer Vision· 6 results
Look Back Again: Dual Parallel Attention Network for Accurate and Robust Scene Text Recognition
§ 04 · Related models
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
6
results
6 of 6 rows marked verified.