# Open-set Semi-Supervised Classification on ImageNet-30 (20/10 split)

Source: [Open-set Semi-Supervised Classification on ImageNet-30 (20/10 split)](<https://www.sota2.com/research/sota/open-set-semi-supervised-classification-on-imagenet-30-20-10-split>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:42:20.200Z

Evaluation of Open-set Semi-Supervised Classification performance on the ImageNet-30 dataset using the 20 known / 10 unknown class split, measured by Error Rate.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Open-set Semi-Supervised Classification |
| Dataset (including any stated split) | ImageNet-30 (20/10 split) |
| Metric | Error Rate |
| Unit | PERCENT |
| Direction | Lower is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Error Rate](<https://www.sota2.com/research/sota/open-set-semi-supervised-classification-on-imagenet-30-20-10-split.md?metric=Error%20Rate>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Error Rate | Result date | Report paper |
| --- | --- | --- | --- |
| OpenMatch | 10.4 | Not recorded | 68fa6a951e209131cea290ea |
| FixMatch | 12.9 | Not recorded | 68fa6a951e209131cea290ea |
| MTC | 13.6 | Not recorded | 68fa6a951e209131cea290ea |
| Labeled Only | 20.9 | Not recorded | 68fa6a951e209131cea290ea |

### OpenMatch

Error Rate: 10.4. Result ID: 699ac18a5698665ec44fb598.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a951e209131cea290ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a951e209131cea290ea.md>)

[Implementation](<https://github.com/kekmodel/FixMatch-pytorch>)

Recorded evaluation configuration: {"No. of labeled samples":"10%"}. This record does not assert independent reproduction.

### FixMatch

Error Rate: 12.9. Result ID: 699ac18a5698665ec44fb596.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a951e209131cea290ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68d61e209131cea1e896.md>)

Recorded evaluation configuration: {"No. of labeled samples":"10%"}. This record does not assert independent reproduction.

### MTC

Error Rate: 13.6. Result ID: 699ac18a5698665ec44fb597.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a951e209131cea290ea.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa680c1e209131cea19cf0.md>)

Recorded evaluation configuration: {"No. of labeled samples":"10%"}. This record does not assert independent reproduction.

### Labeled Only

Error Rate: 20.9. Result ID: 699ac18a5698665ec44fb595.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a951e209131cea290ea.md>)

Recorded evaluation configuration: {"No. of labeled samples":"10%"}. This record does not assert independent reproduction.

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