# Image Classification on MNIST Class-prior Shift 10 (test)

Source: [Image Classification on MNIST Class-prior Shift 10 (test)](<https://www.sota2.com/research/sota/image-classification-on-mnist-class-prior-shift-10-test>)

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

Data updated: 2026-02-26T05:51:50.789Z

Evaluation of Image Classification performance on the test split of the MNIST Class-prior Shift 10 dataset.

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 | Classification |
| Dataset (including any stated split) | MNIST Class-prior Shift 10 (test) |
| Metric | Mean Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [Mean Accuracy](<https://www.sota2.com/research/sota/image-classification-on-mnist-class-prior-shift-10-test.md?metric=Mean%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Mean Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| GIW | 90.2 | Not recorded | 68fa71131e209131cea4f1d5 |
| CCSA | 83.6 | Not recorded | 68fa71131e209131cea4f1d5 |
| Pretrain-val | 83.44 | Not recorded | 68fa71131e209131cea4f1d5 |
| Val-only | 79.86 | Not recorded | 68fa71131e209131cea4f1d5 |
| DANN | 64.3 | Not recorded | 68fa71131e209131cea4f1d5 |

### GIW

Mean Accuracy: 90.2. Result ID: 69917c183a6c3148490875dd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71131e209131cea4f1d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71131e209131cea4f1d5.md>)

[Implementation](<https://github.com/TongtongFANG/GIW>)

Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction.

### CCSA

Mean Accuracy: 83.6. Result ID: 69917c183a6c3148490875db.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71131e209131cea4f1d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63b81e209131cea00583.md>)

Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction.

### Pretrain-val

Mean Accuracy: 83.44. Result ID: 69917c183a6c3148490875da.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71131e209131cea4f1d5.md>)

Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction.

### Val-only

Mean Accuracy: 79.86. Result ID: 69917c183a6c3148490875d9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71131e209131cea4f1d5.md>)

Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction.

### DANN

Mean Accuracy: 64.3. Result ID: 69917c183a6c3148490875dc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71131e209131cea4f1d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa627d1e209131ce9f988d.md>)

Recorded evaluation configuration: {"Shift Scenario":"Case (iv)"}. This record does not assert independent reproduction.

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