Model card
GNNets.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark GNNets has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | icdar-2017-mlt | Computer Vision · Scene Text Detection | f-measure | 74.5% | #6 | 2019-09-02 | source ↗ |
| 02 | icdar-2017-mlt | Computer Vision · Scene Text Detection | recall | 70.1% | #7 | 2019-09-02 | source ↗ |
| 03 | ICDAR 2015 | Computer Vision · Scene Text Detection | f-measure | 88.5% | #13 | 2019-09-02 | source ↗ |
| 04 | ICDAR 2015 | Computer Vision · Scene Text Detection | recall | 86.7% | #13 | 2019-09-02 | source ↗ |
| 05 | ICDAR 2015 | Computer Vision · Scene Text Detection | precision | 90.4% | #14 | 2019-09-02 | source ↗ |
| 06 | icdar-2017-mlt | Computer Vision · Scene Text Detection | precision | 79.6% | #14 | 2019-09-02 | 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 GNNets.
- 2019-09-02· Computer Vision· 6 results
Geometry Normalization Networks for Accurate Scene Text Detection
§ 04 · Related models
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
6
results
6 of 6 rows marked verified.