# Image Classification on ImageNet IPC10 1K (val)

Source: [Image Classification on ImageNet IPC10 1K (val)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-ipc10-1k-val>)

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

Data updated: 2026-06-05T08:05:04.228Z

Evaluation of Image Classification performance on the validation split of the ImageNet 1K IPC10 subset, measured using standard 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 | Image Classification |
| Dataset (including any stated split) | ImageNet IPC10 1K (val) |
| 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-ipc10-1k-val.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| PCA | 25.6 | Not recorded | 68fa76e31e209131cea6faec |
| SRe2L | 14.1 | Not recorded | 68fa76e31e209131cea6faec |
| CDA | 13.2 | Not recorded | 68fa76e31e209131cea6faec |
| LPLD | 9.6 | Not recorded | 68fa76e31e209131cea6faec |

### PCA

Accuracy: 25.6. Result ID: 6a22832efbc373592c205e83.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76e31e209131cea6faec.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76e31e209131cea6faec.md>)

Recorded evaluation configuration: {"Compression Rate":"\> 300×","Label Type":"Hard Label","Architecture":"ResNet-18"}. This record does not assert independent reproduction.

### SRe2L

Accuracy: 14.1. Result ID: 6a22832efbc373592c205e80.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76e31e209131cea6faec.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa722a1e209131cea54e2b.md>)

[Implementation](<https://zeyuanyin.github.io/projects/SRe2L/>)

Recorded evaluation configuration: {"Compression Rate":"30×","Label Type":"Soft Label","Architecture":"ResNet-18"}. This record does not assert independent reproduction.

### CDA

Accuracy: 13.2. Result ID: 6a22832efbc373592c205e81.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76e31e209131cea6faec.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d01e209131cea69f98.md>)

Recorded evaluation configuration: {"Compression Rate":"40×","Label Type":"Soft Label","Architecture":"ResNet-18"}. This record does not assert independent reproduction.

### LPLD

Accuracy: 9.6. Result ID: 6a22832efbc373592c205e82.

[Reporting paper](<https://www.sota2.com/research/paper/68fa76e31e209131cea6faec.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75911e209131cea68b13.md>)

[Implementation](<https://github.com/he-y/soft-label-pruning-for-dataset-distillation>)

Recorded evaluation configuration: {"Compression Rate":"100×","Label Type":"Soft Label","Architecture":"ResNet-18"}. This record does not assert independent reproduction.

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