# Image Classification on ImageNet-A base classes

Source: [Image Classification on ImageNet-A base classes](<https://www.sota2.com/research/sota/image-classification-on-imagenet-a-base-classes>)

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

Data updated: 2026-02-27T14:19:32.675Z

Evaluation of Image Classification performance on the ImageNet-A base classes subset, measured using Accuracy (Acc.) and Expected Calibration Error (ECE).

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) | ImageNet-A base classes |
| 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-imagenet-a-base-classes.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [ECE](<https://www.sota2.com/research/sota/image-classification-on-imagenet-a-base-classes.md?metric=ECE>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Penalty | 68.61 | Not recorded | 699d30716017c4460ffab2ff |
| ZS-Norm | 68.41 | Not recorded | 699d30716017c4460ffab2ff |
| MaPLe | 68.31 | Not recorded | 699d30716017c4460ffab2ff |
| TCPT | 67.86 | Not recorded | 699d30716017c4460ffab2ff |

### Penalty

Accuracy: 68.61. Result ID: 69a1a7d535dfcabb00e801bd.

[Reporting paper](<https://www.sota2.com/research/paper/699d30716017c4460ffab2ff.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74301e209131cea60514.md>)

Recorded evaluation configuration: {"Base Method":"MaPLe"}. This record does not assert independent reproduction.

### ZS-Norm

Accuracy: 68.41. Result ID: 69a1a7d535dfcabb00e801bc.

[Reporting paper](<https://www.sota2.com/research/paper/699d30716017c4460ffab2ff.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74301e209131cea60514.md>)

Recorded evaluation configuration: {"Base Method":"MaPLe"}. This record does not assert independent reproduction.

### MaPLe

Accuracy: 68.31. Result ID: 69a1a7d535dfcabb00e801bb.

[Reporting paper](<https://www.sota2.com/research/paper/699d30716017c4460ffab2ff.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ef21e209131cea4311c.md>)

[Implementation](<https://github.com/muzairkhattak/multimodal-prompt-learning>)

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

### TCPT

Accuracy: 67.86. Result ID: 69a1a7d535dfcabb00e801be.

[Reporting paper](<https://www.sota2.com/research/paper/699d30716017c4460ffab2ff.md>)

[Method origin paper](<https://www.sota2.com/research/paper/699d30716017c4460ffab2ff.md>)

Recorded evaluation configuration: {"Base Method":"MaPLe"}. This record does not assert independent reproduction.

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