# Image Classification on ImageNet sub-tasks S4-S6 (25 classes)

Source: [Image Classification on ImageNet sub-tasks S4-S6 (25 classes)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s4-s6-25-classes>)

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

Data updated: 2026-06-11T06:24:46.978Z

Evaluation of Image Classification performance on specific subsets (S4, S5, S6) comprising 25 classes derived from ImageNet, reporting accuracy for each subset and the overall average.

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 S4-S6 (25 classes) |
| Metric | Accuracy (S4/25) |
| 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 (S4/25)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s4-s6-25-classes.md?metric=Accuracy%20(S4%2F25)>): Higher is better; unit: PERCENT.

- [Accuracy (S5/25)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s4-s6-25-classes.md?metric=Accuracy%20(S5%2F25)>): Higher is better; unit: PERCENT.

- [Accuracy (S6/25)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s4-s6-25-classes.md?metric=Accuracy%20(S6%2F25)>): Higher is better; unit: PERCENT.

- [Average Accuracy](<https://www.sota2.com/research/sota/image-classification-on-imagenet-sub-tasks-s4-s6-25-classes.md?metric=Average%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (S4/25) | Result date | Report paper |
| --- | --- | --- | --- |
| DeiT-Base (FT) | 96.4 | Not recorded | 68fa77c31e209131cea752b2 |
| NuWa (FT) | 96.16 | Not recorded | 68fa77c31e209131cea752b2 |
| X-Pruner | 95.44 | Not recorded | 68fa77c31e209131cea752b2 |
| NuWa (FT) | 95.36 | Not recorded | 68fa77c31e209131cea752b2 |
| RECAP | 95.04 | Not recorded | 68fa77c31e209131cea752b2 |
| Anchor Model | 94.8 | Not recorded | 68fa77c31e209131cea752b2 |
| Random | 94.48 | Not recorded | 68fa77c31e209131cea752b2 |
| NuWa | 94.4 | Not recorded | 68fa77c31e209131cea752b2 |
| MDP | 93.36 | Not recorded | 68fa77c31e209131cea752b2 |
| X-Pruner | 91.58 | Not recorded | 68fa77c31e209131cea752b2 |
| MDP | 90.88 | Not recorded | 68fa77c31e209131cea752b2 |
| Random | 90.48 | Not recorded | 68fa77c31e209131cea752b2 |
| NuWa | 89.84 | Not recorded | 68fa77c31e209131cea752b2 |
| DC-ViT | 89.44 | Not recorded | 68fa77c31e209131cea752b2 |
| RECAP | 88.88 | Not recorded | 68fa77c31e209131cea752b2 |
| DeiT-Base | 79.92 | Not recorded | 68fa77c31e209131cea752b2 |
| DC-ViT | 70.56 | Not recorded | 68fa77c31e209131cea752b2 |

### DeiT-Base (FT)

Accuracy (S4/25): 96.4. Result ID: 6a2a5424fbc373592c26a80b.

[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.

### NuWa (FT)

Accuracy (S4/25): 96.16. Result ID: 6a2a5424fbc373592c26a813.

[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.

### X-Pruner

Accuracy (S4/25): 95.44. Result ID: 6a2a5424fbc373592c26a80e.

[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 (FT)

Accuracy (S4/25): 95.36. Result ID: 6a2a5424fbc373592c26a81a.

[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.

### RECAP

Accuracy (S4/25): 95.04. Result ID: 6a2a5424fbc373592c26a810.

[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.

### Anchor Model

Accuracy (S4/25): 94.8. Result ID: 6a2a5424fbc373592c26a80c.

[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.

### Random

Accuracy (S4/25): 94.48. Result ID: 6a2a5424fbc373592c26a80d.

[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.

### NuWa

Accuracy (S4/25): 94.4. Result ID: 6a2a5424fbc373592c26a812.

[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.

### MDP

Accuracy (S4/25): 93.36. Result ID: 6a2a5424fbc373592c26a811.

[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.

### X-Pruner

Accuracy (S4/25): 91.58. Result ID: 6a2a5424fbc373592c26a815.

[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 (S4/25): 90.88. Result ID: 6a2a5424fbc373592c26a818.

[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.

### Random

Accuracy (S4/25): 90.48. Result ID: 6a2a5424fbc373592c26a814.

[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.

### NuWa

Accuracy (S4/25): 89.84. Result ID: 6a2a5424fbc373592c26a819.

[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.

### DC-ViT

Accuracy (S4/25): 89.44. Result ID: 6a2a5424fbc373592c26a80f.

[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.

### RECAP

Accuracy (S4/25): 88.88. Result ID: 6a2a5424fbc373592c26a817.

[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.

### DeiT-Base

Accuracy (S4/25): 79.92. Result ID: 6a2a5424fbc373592c26a80a.

[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 (S4/25): 70.56. Result ID: 6a2a5424fbc373592c26a816.

[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.

Page 1 of 1. This is an index page, not the full collection.
