Model card
CDistNet.
Researchopen-sourceUnknown paramsContent & Spatial Distribution Network for scene text recognition
CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition. Captures both semantic and geometric character distance. Baseline in Union14M evaluation. AAAI 2022. arXiv 2111.11011.
§ 01 · Benchmarks
Every benchmark CDistNet has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Union14M | Computer Vision · Scene Text Detection | accuracy | 56.2% | #8 | — | 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.