Model card
Pixel-level RC.
UnknownunknownUnknown paramsUnknown1 current SOTA
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark Pixel-level RC has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | n-mnist | Computer Vision · Document Image Classification | accuracy | 97.6% | #1 | 2018-06-21 | source ↗ |
| 02 | noisy-bangla-characters | Computer Vision · Document Image Classification | accuracy | 77.2% | #2 | 2018-06-21 | source ↗ |
| 03 | noisy-bangla-numeral | Computer Vision · Document Image Classification | accuracy | 95.5% | #2 | 2018-06-21 | 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 · Strengths by area
Where Pixel-level RC actually performs.
§ 04 · Papers
1 paper with results for Pixel-level RC.
- 2018-06-21· Computer Vision· 3 results
Pixel-level Reconstruction and Classification for 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.