# Image Classification on ImageNet full 1k (test)

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

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

Data updated: 2026-02-26T06:07:10.846Z

Evaluation of Image Classification performance on the test split of the full ImageNet 1k dataset, reporting Top-1 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 full 1k (test) |
| Metric | Top-1 Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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

- [Top-1 Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-full-1k-test.md?metric=Top-1%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Top-1 Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| PaCo | 81.8 | Not recorded | 68fa6a8d1e209131cea28b82 |
| PaCo | 80.9 | Not recorded | 68fa6a8d1e209131cea28b82 |
| Supcon | 80.2 | Not recorded | 68fa6a8d1e209131cea28b82 |
| PaCo | 79.3 | Not recorded | 68fa6a8d1e209131cea28b82 |
| PaCo | 78.7 | Not recorded | 68fa6a8d1e209131cea28b82 |
| Supcon | 78.4 | Not recorded | 68fa6a8d1e209131cea28b82 |
| multi-task | 78.1 | Not recorded | 68fa6a8d1e209131cea28b82 |
| Supcon | 77.9 | Not recorded | 68fa6a8d1e209131cea28b82 |

### PaCo

Top-1 Accuracy: 81.8. Result ID: 699ab8d85698665ec446d0d2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Implementation](<https://github.com/dvlab-research/Parametric-Contrastive-Learning>)

Recorded evaluation configuration: {"Model":"ResNet-200","augmentation":"StackedRandAugment"}. This record does not assert independent reproduction.

### PaCo

Top-1 Accuracy: 80.9. Result ID: 699ab8d85698665ec446d0d1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Implementation](<https://github.com/dvlab-research/Parametric-Contrastive-Learning>)

Recorded evaluation configuration: {"Model":"ResNet-101","augmentation":"StackedRandAugment"}. This record does not assert independent reproduction.

### Supcon

Top-1 Accuracy: 80.2. Result ID: 699ab8d85698665ec446d0cd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa697f1e209131cea22756.md>)

Recorded evaluation configuration: {"Model":"ResNet-101","augmentation":"StackedRandAugment"}. This record does not assert independent reproduction.

### PaCo

Top-1 Accuracy: 79.3. Result ID: 699ab8d85698665ec446d0d0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Implementation](<https://github.com/dvlab-research/Parametric-Contrastive-Learning>)

Recorded evaluation configuration: {"Model":"ResNet-50","augmentation":"RandAugment"}. This record does not assert independent reproduction.

### PaCo

Top-1 Accuracy: 78.7. Result ID: 699ab8d85698665ec446d0cf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Implementation](<https://github.com/dvlab-research/Parametric-Contrastive-Learning>)

Recorded evaluation configuration: {"Model":"ResNet-50","augmentation":"SimAugment"}. This record does not assert independent reproduction.

### Supcon

Top-1 Accuracy: 78.4. Result ID: 699ab8d85698665ec446d0cc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa697f1e209131cea22756.md>)

Recorded evaluation configuration: {"Model":"ResNet-50","augmentation":"RandAugment"}. This record does not assert independent reproduction.

### multi-task

Top-1 Accuracy: 78.1. Result ID: 699ab8d85698665ec446d0ce.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

Recorded evaluation configuration: {"Model":"ResNet-50","augmentation":"RandAugment"}. This record does not assert independent reproduction.

### Supcon

Top-1 Accuracy: 77.9. Result ID: 699ab8d85698665ec446d0cb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6a8d1e209131cea28b82.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa697f1e209131cea22756.md>)

Recorded evaluation configuration: {"Model":"ResNet-50","augmentation":"SimAugment \*"}. This record does not assert independent reproduction.

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