# Image Classification on CIFAR-10 (disjoint)

Source: [Image Classification on CIFAR-10 (disjoint)](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-disjoint>)

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

Data updated: 2026-02-26T05:27:57.224Z

Evaluation of Image Classification performance on the disjoint split of the CIFAR-10 dataset, typically reporting standard accuracy metrics.

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 | Image Classification |
| Dataset (including any stated split) | CIFAR-10 (disjoint) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher 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

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-10-disjoint.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| OWM | 52.83 | Not recorded | 68fa6a3a1e209131cea26cbf |
| MA | 40.47 | Not recorded | 68fa6a3a1e209131cea26cbf |
| IMM | 32.36 | Not recorded | 68fa6a3a1e209131cea26cbf |
| EWC | 31.09 | Not recorded | 68fa6a3a1e209131cea26cbf |

### OWM

Accuracy: 52.83. Result ID: 698e2034ffc3901de09afea1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a3a1e209131cea26cbf.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a3a1e209131cea26cbf.md>)

[Implementation](<https://github.com/beijixiong3510/OWM>)

Recorded evaluation configuration: {"feature\_extractor":"pre-trained on complete training sets"}. This record does not assert independent reproduction.

### MA

Accuracy: 40.47. Result ID: 698e2034ffc3901de09afea0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a3a1e209131cea26cbf.md>)

Recorded evaluation configuration: {"Description":"Model Adaptation"}. This record does not assert independent reproduction.

### IMM

Accuracy: 32.36. Result ID: 698e2034ffc3901de09afe9f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a3a1e209131cea26cbf.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### EWC

Accuracy: 31.09. Result ID: 698e2034ffc3901de09afe9e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a3a1e209131cea26cbf.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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