Codesota · Models · Orthogonalized Soft VSMUnknown4 results · 4 benchmarks
Model card

Orthogonalized Soft VSM.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark Orthogonalized Soft VSM has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01amazonComputer Vision · Optical Character Recognitionaccuracy93.4%#2/32020-03-10source ↗
02bbcsportComputer Vision · Optical Character Recognitionaccuracy97.7%#2/42020-03-10source ↗
03reuters-21578Computer Vision · Optical Character Recognitionaccuracy92.7%#3/32020-03-10source ↗
04twitterComputer Vision · Optical Character Recognitionaccuracy69.2%#3/32020-03-10source ↗
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 Orthogonalized Soft VSM actually performs.

Computer Vision
4
benchmarks
avg rank #2.5
§ 04 · Papers

1 paper with results for Orthogonalized Soft VSM.

  1. 2020-03-10· Computer Vision· 4 results

    Text classification with word embedding regularization and soft similarity measure

§ 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.