Model card
LSTM-reg (single model).
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark LSTM-reg (single model) has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | imdb-m | Computer Vision · Optical Character Recognition | accuracy | 52.8% | #2 | 2019-06-01 | source ↗ |
| 02 | reuters-21578 | Computer Vision · Optical Character Recognition | f1 | 87.0% | #4 | 2019-06-01 | 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 LSTM-reg (single model) actually performs.
§ 04 · Papers
1 paper with results for LSTM-reg (single model).
- 2019-06-01· Computer Vision· 2 results
Rethinking Complex Neural Network Architectures for Document Classification
§ 05 · Related models
Other Unknown models scored on Codesota.
CRAFT
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GPT-2-Large (fine-tuning)
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HTLM (fine-tuning)
Unknown params · 20 results
TextFuseNet (ResNeXt-101)
Unknown params · 16 results
MixNet
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PAN
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SPCNET
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TESTR
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§ 06 · Sources & freshness
Where these numbers come from.
papers-with-code
2
results
2 of 2 rows marked verified.