Model card
PCGAN-CHAR.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark PCGAN-CHAR has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | noisy-bangla-characters | Computer Vision · Document Image Classification | accuracy | 89.5% | #1 | 2019-08-11 | source ↗ |
| 02 | noisy-bangla-numeral | Computer Vision · Document Image Classification | accuracy | 96.7% | #1 | 2019-08-11 | source ↗ |
| 03 | noisy-mnist | Computer Vision · Document Image Classification | accuracy | 98.4% | #1 | 2019-08-11 | source ↗ |
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 · Papers
1 paper with results for PCGAN-CHAR.
- 2019-08-11· Computer Vision· 3 results
PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters
§ 04 · Related models
Other Unknown models scored on Codesota.
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§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
3
results
3 of 3 rows marked verified.