Model card
MAERec-S.
Researchopen-sourceUnknown paramsMasked AutoEncoder for scene text Recognition (ViT-Small)
MAERec: Symmetrical Linguistic Feature Distillation with CLIP for Scene Text Recognition. Small variant. Uses MAE pre-training tailored for irregular text. Evaluated on Union14M benchmark in original Union14M paper. ICCV 2023. arXiv 2209.00823.
§ 01 · Benchmarks
Every benchmark MAERec-S has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Union14M | Computer Vision · Scene Text Detection | accuracy | 62.4% | #6 | — | 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.
§ 04 · Related models
Other Research models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
arxiv-paper
1
result
0 of 1 rows marked verified.