# Superclass Classification on ImageNet-1K Superclasses (test)

Source: [Superclass Classification on ImageNet-1K Superclasses (test)](<https://www.sota2.com/research/sota/superclass-classification-on-imagenet-1k-superclasses-test>)

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

Data updated: 2026-02-26T05:29:24.800Z

Evaluation of model performance on classifying images into the predefined superclasses of the ImageNet-1K dataset, measured on the test split, typically using accuracy.

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 | Superclass Classification |
| Dataset (including any stated split) | ImageNet-1K Superclasses (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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/superclass-classification-on-imagenet-1k-superclasses-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| MRL | 90.22 | Not recorded | 68fa721f1e209131cea54a25 |
| MRL | 90.21 | Not recorded | 68fa721f1e209131cea54a25 |
| MRL | 90.18 | Not recorded | 68fa721f1e209131cea54a25 |
| MRL | 90.11 | Not recorded | 68fa721f1e209131cea54a25 |
| MRL | 89.97 | Not recorded | 68fa721f1e209131cea54a25 |
| MRL | 89.82 | Not recorded | 68fa721f1e209131cea54a25 |
| MRL | 89.48 | Not recorded | 68fa721f1e209131cea54a25 |
| MRL | 88.67 | Not recorded | 68fa721f1e209131cea54a25 |
| MRL | 85.57 | Not recorded | 68fa721f1e209131cea54a25 |

### MRL

Accuracy: 90.22. Result ID: 699206443a6c3148490c1da2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Implementation](<https://github.com/RAIVNLab/MRL>)

Recorded evaluation configuration: {"Rep. Size":"1024"}. This record does not assert independent reproduction.

### MRL

Accuracy: 90.21. Result ID: 699206443a6c3148490c1da3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Implementation](<https://github.com/RAIVNLab/MRL>)

Recorded evaluation configuration: {"Rep. Size":"2048"}. This record does not assert independent reproduction.

### MRL

Accuracy: 90.18. Result ID: 699206443a6c3148490c1da1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Implementation](<https://github.com/RAIVNLab/MRL>)

Recorded evaluation configuration: {"Rep. Size":"512"}. This record does not assert independent reproduction.

### MRL

Accuracy: 90.11. Result ID: 699206443a6c3148490c1da0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Implementation](<https://github.com/RAIVNLab/MRL>)

Recorded evaluation configuration: {"Rep. Size":"256"}. This record does not assert independent reproduction.

### MRL

Accuracy: 89.97. Result ID: 699206443a6c3148490c1d9f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Implementation](<https://github.com/RAIVNLab/MRL>)

Recorded evaluation configuration: {"Rep. Size":"128"}. This record does not assert independent reproduction.

### MRL

Accuracy: 89.82. Result ID: 699206443a6c3148490c1d9e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Implementation](<https://github.com/RAIVNLab/MRL>)

Recorded evaluation configuration: {"Rep. Size":"64"}. This record does not assert independent reproduction.

### MRL

Accuracy: 89.48. Result ID: 699206443a6c3148490c1d9d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Implementation](<https://github.com/RAIVNLab/MRL>)

Recorded evaluation configuration: {"Rep. Size":"32"}. This record does not assert independent reproduction.

### MRL

Accuracy: 88.67. Result ID: 699206443a6c3148490c1d9c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Implementation](<https://github.com/RAIVNLab/MRL>)

Recorded evaluation configuration: {"Rep. Size":"16"}. This record does not assert independent reproduction.

### MRL

Accuracy: 85.57. Result ID: 699206443a6c3148490c1d9b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa721f1e209131cea54a25.md>)

[Implementation](<https://github.com/RAIVNLab/MRL>)

Recorded evaluation configuration: {"Rep. Size":"8"}. This record does not assert independent reproduction.

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