# Image Classification on ImageNet 16-shot 10% label corruption

Source: [Image Classification on ImageNet 16-shot 10% label corruption](<https://www.sota2.com/research/sota/image-classification-on-imagenet-16-shot-10-percent-label-corruption>)

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

Data updated: 2026-05-26T10:18:56.241Z

Evaluation of Image Classification performance on ImageNet under a 16-shot learning setup with 10% label corruption applied.

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 16-shot 10% label corruption |
| Metric | 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

- [Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-16-shot-10-percent-label-corruption.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| SCAN | 69.37 | Not recorded | 68fa78971e209131cea792d5 |
| SimNL | 65.82 | Not recorded | 68fa78971e209131cea792d5 |
| SimNL | 65.54 | Not recorded | 68fa78971e209131cea792d5 |
| Tip-Adapter-F | 65.25 | Not recorded | 68fa78971e209131cea792d5 |
| Tip-Adapter-F | 64.93 | Not recorded | 68fa78971e209131cea792d5 |

### SCAN

Accuracy: 69.37. Result ID: 6a15718dfbc373592c0d6ac4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78971e209131cea792d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78971e209131cea792d5.md>)

Recorded evaluation configuration: {"Number of shots":"16"}. This record does not assert independent reproduction.

### SimNL

Accuracy: 65.82. Result ID: 6a15718dfbc373592c0d6ac3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78971e209131cea792d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75a01e209131cea690e0.md>)

Recorded evaluation configuration: {"Number of shots":"16","Reweighting":"true"}. This record does not assert independent reproduction.

### SimNL

Accuracy: 65.54. Result ID: 6a15718dfbc373592c0d6ac2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78971e209131cea792d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75a01e209131cea690e0.md>)

Recorded evaluation configuration: {"Number of shots":"16","Reweighting":"false"}. This record does not assert independent reproduction.

### Tip-Adapter-F

Accuracy: 65.25. Result ID: 6a15718dfbc373592c0d6ac1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78971e209131cea792d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d191e209131cea37b29.md>)

Recorded evaluation configuration: {"Number of shots":"16","Reweighting":"true"}. This record does not assert independent reproduction.

### Tip-Adapter-F

Accuracy: 64.93. Result ID: 6a15718dfbc373592c0d6ac0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa78971e209131cea792d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6d191e209131cea37b29.md>)

Recorded evaluation configuration: {"Number of shots":"16","Reweighting":"false"}. This record does not assert independent reproduction.

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