Model card
DBNet++ (ResNet-18) (512).
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark DBNet++ (ResNet-18) (512) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | msra-td500 | Computer Vision · Scene Text Detection | fps | 80.0% | #2 | 2022-02-21 | source ↗ |
| 02 | msra-td500 | Computer Vision · Scene Text Detection | precision | 89.7% | #13 | 2022-02-21 | source ↗ |
| 03 | msra-td500 | Computer Vision · Scene Text Detection | f-measure | 82.6% | #17 | 2022-02-21 | source ↗ |
| 04 | msra-td500 | Computer Vision · Scene Text Detection | recall | 76.5% | #18 | 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) (512) actually performs.
§ 03 · Papers
1 paper with results for DBNet++ (ResNet-18) (512).
- 2022-02-21· Computer Vision· 4 results
Real-Time Scene Text Detection with Differentiable Binarization and Adaptive Scale Fusion
§ 04 · Related models
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
4
results
4 of 4 rows marked verified.