# Image Classification on ImageNet-100 II (test)

Source: [Image Classification on ImageNet-100 II (test)](<https://www.sota2.com/research/sota/image-classification-on-imagenet-100-ii-test>)

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

Data updated: 2026-02-26T05:21:32.010Z

Evaluation of Image Classification performance on the specific 'II' test split of the ImageNet-100 dataset, measured by Accuracy (ACC).

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-100 II (test) |
| Metric | ACC |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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

- [ACC](<https://www.sota2.com/research/sota/image-classification-on-imagenet-100-ii-test.md?metric=ACC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | ACC | Result date | Report paper |
| --- | --- | --- | --- |
| MSP | 94.82 | Not recorded | 68fa75ae1e209131cea693fe |
| Energy | 94.82 | Not recorded | 68fa75ae1e209131cea693fe |
| VOS | 94.72 | Not recorded | 68fa75ae1e209131cea693fe |
| CATEX | 94.42 | Not recorded | 68fa75ae1e209131cea693fe |
| NPOS | 94.32 | Not recorded | 68fa75ae1e209131cea693fe |
| MCM | 90.48 | Not recorded | 68fa75ae1e209131cea693fe |

### MSP

ACC: 94.82. Result ID: 6993f5483a6c31484919cc24.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75ae1e209131cea693fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a701e209131cea280e5.md>)

[Implementation](<https://github.com/google-research/vision_transformer>)

Recorded evaluation configuration: {"Evaluation Protocol":"without fine-tuning"}. This record does not assert independent reproduction.

### Energy

ACC: 94.82. Result ID: 6993f5483a6c31484919cc25.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75ae1e209131cea693fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69cc1e209131cea24242.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"without fine-tuning"}. This record does not assert independent reproduction.

### VOS

ACC: 94.72. Result ID: 6993f5483a6c31484919cc26.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75ae1e209131cea693fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c831e209131cea346d4.md>)

Recorded evaluation configuration: {"Evaluation Protocol":"without fine-tuning"}. This record does not assert independent reproduction.

### CATEX

ACC: 94.42. Result ID: 6993f5483a6c31484919cc28.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75ae1e209131cea693fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75ae1e209131cea693fe.md>)

[Implementation](<https://github.com/alibaba/catex>)

Recorded evaluation configuration: {"Evaluation Protocol":"without fine-tuning"}. This record does not assert independent reproduction.

### NPOS

ACC: 94.32. Result ID: 6993f5483a6c31484919cc27.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75ae1e209131cea693fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6eb61e209131cea41aaa.md>)

[Implementation](<https://github.com/deeplearning-wisc/npos>)

Recorded evaluation configuration: {"Evaluation Protocol":"without fine-tuning"}. This record does not assert independent reproduction.

### MCM

ACC: 90.48. Result ID: 6993f5483a6c31484919cc23.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75ae1e209131cea693fe.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e0a1e209131cea3d9c6.md>)

[Implementation](<https://github.com/deeplearning-wisc/MCM>)

Recorded evaluation configuration: {"Evaluation Protocol":"without fine-tuning"}. This record does not assert independent reproduction.

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