# Image Classification on ImageNet sub-tasks S1-S3 (10 classes)

Source: [Image Classification on ImageNet sub-tasks S1-S3 (10 classes)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s1-s3-10-classes>)

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

Data updated: 2026-06-11T06:24:46.931Z

Evaluation of Image Classification performance across three specific sub-tasks (S1, S2, S3), each containing 10 classes, reporting individual and average 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 sub-tasks S1-S3 (10 classes) |
| Metric | Accuracy (S1/10) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 17 of 17 |
| 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 (S1/10)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s1-s3-10-classes.md?metric=Accuracy%20(S1%2F10)>): Higher is better; unit: PERCENT.

- [Accuracy (S2/10)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s1-s3-10-classes.md?metric=Accuracy%20(S2%2F10)>): Higher is better; unit: PERCENT.

- [Accuracy (S3/10)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s1-s3-10-classes.md?metric=Accuracy%20(S3%2F10)>): Higher is better; unit: PERCENT.

- [Average Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s1-s3-10-classes.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (S1/10) | Result date | Report paper |
| --- | --- | --- | --- |
| NuWa (FT) | 97 | Not recorded | 68fa77c31e209131cea752b2 |
| DeiT-Base (FT) | 96.6 | Not recorded | 68fa77c31e209131cea752b2 |
| RECAP | 96.6 | Not recorded | 68fa77c31e209131cea752b2 |
| X-Pruner | 96.2 | Not recorded | 68fa77c31e209131cea752b2 |
| NuWa | 96 | Not recorded | 68fa77c31e209131cea752b2 |
| Anchor Model | 95.8 | Not recorded | 68fa77c31e209131cea752b2 |
| NuWa (FT) | 95.2 | Not recorded | 68fa77c31e209131cea752b2 |
| Random | 94.8 | Not recorded | 68fa77c31e209131cea752b2 |
| MDP | 93.8 | Not recorded | 68fa77c31e209131cea752b2 |
| NuWa | 91.8 | Not recorded | 68fa77c31e209131cea752b2 |
| X-Pruner | 91.2 | Not recorded | 68fa77c31e209131cea752b2 |
| MDP | 90 | Not recorded | 68fa77c31e209131cea752b2 |
| RECAP | 89.4 | Not recorded | 68fa77c31e209131cea752b2 |
| Random | 88 | Not recorded | 68fa77c31e209131cea752b2 |
| DC-ViT | 75.8 | Not recorded | 68fa77c31e209131cea752b2 |
| DeiT-Base | 71.2 | Not recorded | 68fa77c31e209131cea752b2 |
| DC-ViT | 68.2 | Not recorded | 68fa77c31e209131cea752b2 |

### NuWa (FT)

Accuracy (S1/10): 97. Result ID: 6a2a5424fbc373592c26a802.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.40","Fine-tuning":"true"}. This record does not assert independent reproduction.

### DeiT-Base (FT)

Accuracy (S1/10): 96.6. Result ID: 6a2a5424fbc373592c26a7fa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69181e209131cea202b4.md>)

[Implementation](<https://github.com/facebookresearch/deit>)

Recorded evaluation configuration: {"Fine-tuning":"true","Backbone":"DeiT-Base"}. This record does not assert independent reproduction.

### RECAP

Accuracy (S1/10): 96.6. Result ID: 6a2a5424fbc373592c26a7ff.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.40","Fine-tuning":"false"}. This record does not assert independent reproduction.

### X-Pruner

Accuracy (S1/10): 96.2. Result ID: 6a2a5424fbc373592c26a7fd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fa01e209131cea46ba1.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.40","Fine-tuning":"false"}. This record does not assert independent reproduction.

### NuWa

Accuracy (S1/10): 96. Result ID: 6a2a5424fbc373592c26a801.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.40","Fine-tuning":"false"}. This record does not assert independent reproduction.

### Anchor Model

Accuracy (S1/10): 95.8. Result ID: 6a2a5424fbc373592c26a7fb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

Recorded evaluation configuration: {"Fine-tuning":"false","Backbone":"DeiT-Base"}. This record does not assert independent reproduction.

### NuWa (FT)

Accuracy (S1/10): 95.2. Result ID: 6a2a5424fbc373592c26a809.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.60","Fine-tuning":"true"}. This record does not assert independent reproduction.

### Random

Accuracy (S1/10): 94.8. Result ID: 6a2a5424fbc373592c26a7fc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f961e209131cea4675f.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.40","Fine-tuning":"false"}. This record does not assert independent reproduction.

### MDP

Accuracy (S1/10): 93.8. Result ID: 6a2a5424fbc373592c26a800.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77cb1e209131cea75607.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.40","Fine-tuning":"false"}. This record does not assert independent reproduction.

### NuWa

Accuracy (S1/10): 91.8. Result ID: 6a2a5424fbc373592c26a808.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.60","Fine-tuning":"false"}. This record does not assert independent reproduction.

### X-Pruner

Accuracy (S1/10): 91.2. Result ID: 6a2a5424fbc373592c26a804.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fa01e209131cea46ba1.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.60","Fine-tuning":"false"}. This record does not assert independent reproduction.

### MDP

Accuracy (S1/10): 90. Result ID: 6a2a5424fbc373592c26a807.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77cb1e209131cea75607.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.60","Fine-tuning":"false"}. This record does not assert independent reproduction.

### RECAP

Accuracy (S1/10): 89.4. Result ID: 6a2a5424fbc373592c26a806.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.60","Fine-tuning":"false"}. This record does not assert independent reproduction.

### Random

Accuracy (S1/10): 88. Result ID: 6a2a5424fbc373592c26a803.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f961e209131cea4675f.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.60","Fine-tuning":"false"}. This record does not assert independent reproduction.

### DC-ViT

Accuracy (S1/10): 75.8. Result ID: 6a2a5424fbc373592c26a7fe.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72b71e209131cea5822c.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.40","Fine-tuning":"false"}. This record does not assert independent reproduction.

### DeiT-Base

Accuracy (S1/10): 71.2. Result ID: 6a2a5424fbc373592c26a7f9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69181e209131cea202b4.md>)

[Implementation](<https://github.com/facebookresearch/deit>)

Recorded evaluation configuration: {"Fine-tuning":"false","Backbone":"DeiT-Base"}. This record does not assert independent reproduction.

### DC-ViT

Accuracy (S1/10): 68.2. Result ID: 6a2a5424fbc373592c26a805.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77c31e209131cea752b2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72b71e209131cea5822c.md>)

Recorded evaluation configuration: {"Pruning Rate":"0.60","Fine-tuning":"false"}. This record does not assert independent reproduction.

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