Codesota · Models · VANUnknown6 results · 3 benchmarks
Model card

VAN.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 01 · Benchmarks

Every benchmark VAN has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01IAMComputer Vision · Handwriting Recognitionwer16.2%#3/102020-12-07source ↗
02iam(line-level)Computer Vision · Optical Character Recognitiontest-cer5.0%#3/52020-12-07source ↗
03iam(line-level)Computer Vision · Optical Character Recognitiontest-wer16.3%#3/42020-12-07source ↗
04read2016(line-level)Computer Vision · Optical Character Recognitiontest-cer4.1%#3/62020-12-07source ↗
05read2016(line-level)Computer Vision · Optical Character Recognitiontest-wer16.3%#4/52020-12-07source ↗
06IAMComputer Vision · Handwriting Recognitioncer4.3%#11/222020-12-07source ↗
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.
§ 02 · Strengths by area

Where VAN actually performs.

Computer Vision
3
benchmarks
avg rank #4.5
§ 03 · Papers

1 paper with results for VAN.

  1. 2020-12-07· Computer Vision· 6 results

    End-to-end Handwritten Paragraph Text Recognition Using a Vertical Attention Network

§ 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
Unknown params · 3 results
TextBoxes++_MS
Unknown params · 3 results
WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness

Where these numbers come from.

papers-with-code
6
results
6 of 6 rows marked verified.