Model card
Bert.
UnknownunknownUnknown paramsUnknown2 current SOTA
Imported from Papers With Code
§ 02 · 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 · Strengths by area
Where Bert actually performs.
§ 04 · 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
§ 05 · Related models
Other Unknown models scored on Codesota.
CRAFT
Unknown params · 21 results
GPT-2-Large (fine-tuning)
Unknown params · 20 results
HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
Unknown params · 13 results
PAN
Unknown params · 12 results
SPCNET
Unknown params · 12 results
TESTR
Unknown params · 12 results
§ 06 · 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.