Model card
Q-SENN.
UnknownunknownUnknown paramsUnknown1 current SOTA
Imported from Papers With Code
§ 02 · Benchmarks
Every benchmark Q-SENN has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | cub-200-2011 | Computer Vision · Optical Character Recognition | top-1-accuracy | 85.9% | #1 | 2023-12-21 | 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 Q-SENN actually performs.
§ 04 · Papers
1 paper with results for Q-SENN.
- 2023-12-21· Computer Vision· 1 result
Q-SENN: Quantized Self-Explaining Neural Networks
§ 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
1
result
1 of 1 rows marked verified.