Model card
Bert.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark Bert has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | food-101 | Computer Vision · Optical Character Recognition | accuracy | 84.4% | #1 | 2020-12-17 | source ↗ |
| 02 | cub-200-2011 | Computer Vision · Optical Character Recognition | accuracy | 65.0% | #1 | 2020-01-16 | 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
2 papers with results for Bert.
- 2020-12-17· Computer Vision· 1 result
Image and Text fusion for UPMC Food-101 \\using BERT and CNNs
- 2020-01-16· Computer Vision· 1 result
Are These Birds Similar: Learning Branched Networks for Fine-grained Representations
§ 04 · Related models
Other Unknown models scored on Codesota.
fglihai
Unknown params · 6 results · 1 SOTA
CLIP4STR-L
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USYD NLP_CS29-2
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Corner-based Region Proposals
Unknown params · 3 results
EAST + VGG16
Unknown params · 3 results
SSTD
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TextBoxes++_MS
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WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
2
results
2 of 2 rows marked verified. · first result 2020-01-16, latest 2020-12-17.