Model card
TextBPN++ (ResNet-50).
Zhang et al. (HCIILAB)open-sourceUnknown paramsResNet-50 + Boundary Transformer (single-scale, no DCN)
TextBPN++ ResNet-50 single-scale variant without DCN. arXiv:2205.05320. T-MM 2023.
§ 01 · Benchmarks
Every benchmark TextBPN++ (ResNet-50) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | icdar-2017-mlt | Computer Vision · Scene Text Detection | f-measure | 72.3% | #12 | 2022-05-11 | source ↗ |
| 02 | icdar-2017-mlt | Computer Vision · Scene Text Detection | precision | 80.5% | #12 | 2022-05-11 | source ↗ |
| 03 | icdar-2017-mlt | Computer Vision · Scene Text Detection | recall | 65.7% | #14 | 2022-05-11 | 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.
§ 02 · Strengths by area
Where TextBPN++ (ResNet-50) actually performs.
§ 03 · Papers
1 paper with results for TextBPN++ (ResNet-50).
- 2022-05-11· Computer Vision· 3 results
Arbitrary Shape Text Detection via Boundary Transformer
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
3
results
3 of 3 rows marked verified.