Codesota · Models · BiLSTM (UN)Unknown4 results · 4 benchmarks
Model card

BiLSTM (UN).

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark BiLSTM (UN) has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01mldoc-zero-shot-english-to-chineseComputer Vision · Optical Character Recognitionaccuracy72.0%#4/52018-05-24source ↗
02mldoc-zero-shot-english-to-frenchComputer Vision · Optical Character Recognitionaccuracy74.5%#4/62018-05-24source ↗
03mldoc-zero-shot-english-to-russianComputer Vision · Optical Character Recognitionaccuracy61.4%#4/52018-05-24source ↗
04mldoc-zero-shot-english-to-spanishComputer Vision · Optical Character Recognitionaccuracy69.5%#5/62018-05-24source ↗
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 BiLSTM (UN) actually performs.

Computer Vision
4
benchmarks
avg rank #4.3
§ 04 · Papers

1 paper with results for BiLSTM (UN).

  1. 2018-05-24· Computer Vision· 4 results

    A Corpus for Multilingual Document Classification in Eight Languages

§ 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
4
results
4 of 4 rows marked verified.