# Image Classification on Split-ImageNet 10-tasks (test)

Source: [Image Classification on Split-ImageNet 10-tasks (test)](<https://www.sota2.com/research/sota/image-classification-on-split-imagenet-10-tasks-test>)

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

Data updated: 2026-02-26T05:35:12.920Z

Evaluation of Image Classification performance on the specific 10-task sequential split protocol derived from the ImageNet dataset, reporting Average Accuracy and Forgetting 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) | Split-ImageNet 10-tasks (test) |
| Metric | Average Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 2 of 2 |
| 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

- [Average Accuracy](<https://www.sota2.com/research/sota/image-classification-on-split-imagenet-10-tasks-test.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

- [Forgetting](<https://www.sota2.com/research/sota/image-classification-on-split-imagenet-10-tasks-test.md?metric=Forgetting>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Average Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| ExSSNET | 74.77 | Not recorded | 68fa6ffd1e209131cea485e1 |
| SupSup | 68.07 | Not recorded | 68fa6ffd1e209131cea485e1 |

### ExSSNET

Average Accuracy: 74.77. Result ID: 6991052d3a6c314849051235.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ffd1e209131cea485e1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ffd1e209131cea485e1.md>)

[Implementation](<https://github.com/prateeky2806/exessnet>)

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

### SupSup

Average Accuracy: 68.07. Result ID: 6991052d3a6c314849051234.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6ffd1e209131cea485e1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68891e209131cea1cc39.md>)

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

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