# Image Classification on ImageNet-100 (pre-training)

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

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

Data updated: 2026-02-26T05:30:26.096Z

Evaluation of Image Classification performance on the pre-training split/phase of the ImageNet-100 dataset, typically measured by 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-100 (pre-training) |
| 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-100-pre-training.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| FP | 77.87 | Not recorded | 68fa779c1e209131cea74535 |
| HOT | 77.31 | Not recorded | 68fa779c1e209131cea74535 |
| LUQ | 75.97 | Not recorded | 68fa779c1e209131cea74535 |
| LBP-WHT | 54.25 | Not recorded | 68fa779c1e209131cea74535 |

### FP

Accuracy: 77.87. Result ID: 699550173badfaffe63fbaa5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779c1e209131cea74535.md>)

Recorded evaluation configuration: {"Model":"ViT-B"}. This record does not assert independent reproduction.

### HOT

Accuracy: 77.31. Result ID: 699550173badfaffe63fbaa8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779c1e209131cea74535.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa779c1e209131cea74535.md>)

[Implementation](<https://github.com/sungonuni/HOT>)

Recorded evaluation configuration: {"Model":"ViT-B"}. This record does not assert independent reproduction.

### LUQ

Accuracy: 75.97. Result ID: 699550173badfaffe63fbaa6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779c1e209131cea74535.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73841e209131cea5cdef.md>)

Recorded evaluation configuration: {"Model":"ViT-B"}. This record does not assert independent reproduction.

### LBP-WHT

Accuracy: 54.25. Result ID: 699550173badfaffe63fbaa7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779c1e209131cea74535.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70ae1e209131cea4c7fd.md>)

Recorded evaluation configuration: {"Model":"ViT-B"}. This record does not assert independent reproduction.

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