Model card
MAERec.
Jiang et al.open-sourceUnknown paramsViT backbone + Transformer decoder, MAE self-supervised pre-training on Union14M-U
MAERec from "Revisiting Scene Text Recognition: A Data Perspective". ICCV 2023. arxiv:2307.08723.
§ 01 · Benchmarks
Every benchmark MAERec has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | icdar-2013 | Computer Vision · Scene Text Detection | accuracy | 98.2% | #10 | 2023-07-17 | 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 MAERec.
- 2023-07-17· Computer Vision· 1 result
Revisiting Scene Text Recognition: A Data Perspective
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
1
result
1 of 1 rows marked verified.