Codesota · Models · SIGA_SUnknown2 results · 2 benchmarks
Model card

SIGA_S.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark SIGA_S has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01icdar2015Computer Vision · Optical Character Recognitionaccuracy87.6%#11/292022-03-07source ↗
02iiit5kComputer Vision · Scene Text Recognitionaccuracy96.9%#14/212022-03-07source ↗
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.
§ 03 · Strengths by area

Where SIGA_S actually performs.

Computer Vision
2
benchmarks
avg rank #12.5
§ 04 · Papers

1 paper with results for SIGA_S.

  1. 2022-03-07· Computer Vision· 2 results

    Self-supervised Implicit Glyph Attention for Text Recognition

§ 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.