Model card
DBNet++ (ResNet-18) (800).
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark DBNet++ (ResNet-18) (800) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | Total-Text | Computer Vision · Scene Text Detection | fps | 48.0% | #5 | 2022-02-21 | source ↗ |
| 02 | CTW1500 | Computer Vision · Scene Text Detection | precision | 84.3% | #6 | 2022-02-21 | source ↗ |
| 03 | CTW1500 | Computer Vision · Scene Text Detection | recall | 81.0% | #6 | 2022-02-21 | source ↗ |
| 04 | CTW1500 | Computer Vision · Scene Text Detection | f-measure | 82.6% | #6 | 2022-02-21 | source ↗ |
| 05 | Total-Text | Computer Vision · Scene Text Detection | precision | 87.4% | #21 | 2022-02-21 | source ↗ |
| 06 | Total-Text | Computer Vision · Scene Text Detection | recall | 79.6% | #23 | 2022-02-21 | source ↗ |
| 07 | Total-Text | Computer Vision · Scene Text Detection | f-measure | 83.3% | #24 | 2022-02-21 | 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 DBNet++ (ResNet-18) (800) actually performs.
§ 03 · Papers
2 papers with results for DBNet++ (ResNet-18) (800).
- 2022-02-21· Computer Vision· 3 results
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
- 2022-02-21· Computer Vision· 4 results
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
4
results
arxiv
3
results
7 of 7 rows marked verified.