Model card
PARSeq.
Researchopen-sourceUnknown paramsScene Text Recognition with Permuted Autoregressive Sequence Models
Scene text recognition with permutation language modeling. ECCV 2022.
§ 01 · Benchmarks
Every benchmark PARSeq has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Union14M | Computer Vision · Scene Text Detection | accuracy | 67.8% | #2 | — | source ↗ |
| 02 | Union14M | Computer Vision · Scene Text Detection | accuracy | 63.8% | #5 | — | source ↗ |
| 03 | svtp | Computer Vision · Scene Text Recognition | accuracy | 96.9% | #6 | 2022-07-14 | source ↗ |
| 04 | cute80 | Computer Vision · Scene Text Recognition | accuracy | 98.6% | #7 | 2022-07-14 | source ↗ |
| 05 | iiit5k | Computer Vision · Scene Text Recognition | accuracy | 99.0% | #7 | 2022-07-14 | source ↗ |
| 06 | svt | Computer Vision · Scene Text Recognition | accuracy | 97.8% | #8 | 2022-07-14 | source ↗ |
| 07 | icdar-2013 | Computer Vision · Scene Text Detection | accuracy | 98.1% | #12 | 2022-07-14 | 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 PARSeq.
- 2022-07-14· Computer Vision· 5 results
Scene Text Recognition with Permuted Autoregressive Sequence Models
§ 04 · Related models
Other Research models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
6
results
arxiv-paper
1
result
5 of 7 rows marked verified.