Model card
MultiCCA + CNN.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark MultiCCA + CNN has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | mldoc-zero-shot-english-to-japanese | Computer Vision · Optical Character Recognition | accuracy | 67.6% | #2 | 2018-05-24 | source ↗ |
| 02 | mldoc-zero-shot-english-to-chinese | Computer Vision · Optical Character Recognition | accuracy | 74.7% | #3 | 2018-05-24 | source ↗ |
| 03 | mldoc-zero-shot-english-to-italian | Computer Vision · Optical Character Recognition | accuracy | 69.4% | #3 | 2018-05-24 | source ↗ |
| 04 | mldoc-zero-shot-english-to-german | Computer Vision · Optical Character Recognition | accuracy | 81.2% | #4 | 2018-05-24 | source ↗ |
| 05 | mldoc-zero-shot-english-to-spanish | Computer Vision · Optical Character Recognition | accuracy | 72.5% | #4 | 2018-05-24 | source ↗ |
| 06 | mldoc-zero-shot-english-to-russian | Computer Vision · Optical Character Recognition | accuracy | 60.8% | #5 | 2018-05-24 | source ↗ |
| 07 | mldoc-zero-shot-english-to-french | Computer Vision · Optical Character Recognition | accuracy | 72.4% | #6 | 2018-05-24 | 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 MultiCCA + CNN actually performs.
§ 03 · Papers
1 paper with results for MultiCCA + CNN.
- 2018-05-24· Computer Vision· 7 results
A Corpus for Multilingual Document Classification in Eight Languages
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
7
results
7 of 7 rows marked verified.