Codesota · Models · GNNetsUnknown6 results · 2 benchmarks
Model card

GNNets.

UnknownunknownUnknown paramsUnknown

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark GNNets has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01icdar-2017-mltComputer Vision · Scene Text Detectionf-measure74.5%#6/172019-09-02source ↗
02icdar-2017-mltComputer Vision · Scene Text Detectionrecall70.1%#7/182019-09-02source ↗
03ICDAR 2015Computer Vision · Scene Text Detectionf-measure88.5%#13/432019-09-02source ↗
04ICDAR 2015Computer Vision · Scene Text Detectionrecall86.7%#13/412019-09-02source ↗
05ICDAR 2015Computer Vision · Scene Text Detectionprecision90.4%#14/412019-09-02source ↗
06icdar-2017-mltComputer Vision · Scene Text Detectionprecision79.6%#14/182019-09-02source ↗
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 GNNets actually performs.

Computer Vision
2
benchmarks
avg rank #11.2
§ 04 · Papers

1 paper with results for GNNets.

  1. 2019-09-02· Computer Vision· 6 results

    Geometry Normalization Networks for Accurate Scene Text Detection

§ 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
6
results
6 of 6 rows marked verified.