Model card
ERRNet.
Su et al.open-sourceUnknown paramsContour-based end-to-end transformer with explicit relational reasoning
Explicit Relational Reasoning Network. Models connected components as sequential objects, reframes detection as tracking. AAAI 2025. arxiv:2412.14692
§ 01 · Benchmarks
Every benchmark ERRNet has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Total-Text | Computer Vision · Scene Text Detection | precision | 90.1% | #8 | 2024-12-19 | source ↗ |
| 02 | Total-Text | Computer Vision · Scene Text Detection | f-measure | 88.1% | #9 | 2024-12-19 | source ↗ |
| 03 | Total-Text | Computer Vision · Scene Text Detection | recall | 86.1% | #9 | 2024-12-19 | 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 ERRNet.
- 2024-12-19· Computer Vision· 3 results
Explicit Relational Reasoning Network for Scene Text Detection
§ 04 · Related models
Other Su et al. models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
3
results
3 of 3 rows marked verified.