Codesota · Models · GFCNUnknown4 results · 2 benchmarks
Model card

GFCN.

UnknownunknownUnknown paramsUnknown4 current SOTA

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark GFCN has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01iam(line-level)Computer Vision · Optical Character Recognitiontest-cer8.0%#1/52020-12-09source ↗
02iam(line-level)Computer Vision · Optical Character Recognitiontest-wer28.6%#1/42020-12-09source ↗
03lam(line-level)Computer Vision · Optical Character Recognitiontest-cer5.2%#1/72020-12-09source ↗
04lam(line-level)Computer Vision · Optical Character Recognitiontest-wer18.5%#1/72020-12-09source ↗
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 GFCN actually performs.

Computer Vision
2
benchmarks
avg rank #1.0 · 4 SOTA
§ 04 · Papers

1 paper with results for GFCN.

  1. 2020-12-09· Computer Vision· 4 results

    Recurrence-free unconstrained handwritten text recognition using gated fully convolutional network

§ 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.