Model card
WordSup (VGG16-synth-coco).
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark WordSup (VGG16-synth-coco) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | coco-text | Computer Vision · Scene Text Detection | precision | 45.2% | #5 | 2017-08-22 | source ↗ |
| 02 | coco-text | Computer Vision · Scene Text Detection | recall | 30.9% | #5 | 2017-08-22 | source ↗ |
| 03 | coco-text | Computer Vision · Scene Text Detection | f-measure | 36.8% | #16 | 2017-08-22 | 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 WordSup (VGG16-synth-coco) actually performs.
§ 03 · Papers
1 paper with results for WordSup (VGG16-synth-coco).
- 2017-08-22· Computer Vision· 3 results
WordSup: Exploiting Word Annotations for Character based Text Detection
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
3
results
3 of 3 rows marked verified.