Codesota · Models · PCGAN-CHARUnknown3 results · 3 benchmarks
Model card

PCGAN-CHAR.

UnknownunknownUnknown paramsUnknown3 current SOTA

Imported from Papers With Code

§ 02 · Benchmarks

Every benchmark PCGAN-CHAR has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01noisy-bangla-charactersComputer Vision · Document Image Classificationaccuracy89.5%#1/22019-08-11source ↗
02noisy-bangla-numeralComputer Vision · Document Image Classificationaccuracy96.7%#1/22019-08-11source ↗
03noisy-mnistComputer Vision · Document Image Classificationaccuracy98.4%#1/12019-08-11source ↗
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 PCGAN-CHAR actually performs.

Computer Vision
3
benchmarks
avg rank #1.0 · 3 SOTA
§ 04 · Papers

1 paper with results for PCGAN-CHAR.

  1. 2019-08-11· Computer Vision· 3 results

    PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters

§ 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
3
results
3 of 3 rows marked verified.