# Image Classification on ImageNet Hue-shifted (test)

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

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

Data updated: 2026-02-26T05:29:12.069Z

Evaluation of Image Classification performance on the hue-shifted test split of the ImageNet dataset.

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 Hue-shifted (test) |
| Metric | 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

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

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| CEConv-2 | 68.74 | Not recorded | 68fa71061e209131cea4ea46 |
| Baseline | 67.1 | Not recorded | 68fa71061e209131cea4ea46 |
| CIConv-W | 65.03 | Not recorded | 68fa71061e209131cea4ea46 |
| CIConv-W | 64.62 | Not recorded | 68fa71061e209131cea4ea46 |
| CEConv | 64.52 | Not recorded | 68fa71061e209131cea4ea46 |
| CEConv-2 | 62.26 | Not recorded | 68fa71061e209131cea4ea46 |
| CEConv | 56.9 | Not recorded | 68fa71061e209131cea4ea46 |
| Baseline | 54.72 | Not recorded | 68fa71061e209131cea4ea46 |

### CEConv-2

Accuracy: 68.74. Result ID: 69916ef63a6c314849082282.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Implementation](<https://github.com/Attila94/CEConv>)

Recorded evaluation configuration: {"Training Augmentation":"Color Jitter"}. This record does not assert independent reproduction.

### Baseline

Accuracy: 67.1. Result ID: 69916ef63a6c31484908227f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62321e209131ce9f8328.md>)

Recorded evaluation configuration: {"Training Augmentation":"Color Jitter"}. This record does not assert independent reproduction.

### CIConv-W

Accuracy: 65.03. Result ID: 69916ef63a6c314849082280.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6afc1e209131cea2b8b8.md>)

[Implementation](<https://github.com/Attila94/CIConv>)

Recorded evaluation configuration: {"Training Augmentation":"Color Jitter"}. This record does not assert independent reproduction.

### CIConv-W

Accuracy: 64.62. Result ID: 69916ef63a6c31484908227c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6afc1e209131cea2b8b8.md>)

[Implementation](<https://github.com/Attila94/CIConv>)

Recorded evaluation configuration: {"Training Augmentation":"None"}. This record does not assert independent reproduction.

### CEConv

Accuracy: 64.52. Result ID: 69916ef63a6c314849082281.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Implementation](<https://github.com/Attila94/CEConv>)

Recorded evaluation configuration: {"Training Augmentation":"Color Jitter"}. This record does not assert independent reproduction.

### CEConv-2

Accuracy: 62.26. Result ID: 69916ef63a6c31484908227e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Implementation](<https://github.com/Attila94/CEConv>)

Recorded evaluation configuration: {"Training Augmentation":"None"}. This record does not assert independent reproduction.

### CEConv

Accuracy: 56.9. Result ID: 69916ef63a6c31484908227d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Implementation](<https://github.com/Attila94/CEConv>)

Recorded evaluation configuration: {"Training Augmentation":"None"}. This record does not assert independent reproduction.

### Baseline

Accuracy: 54.72. Result ID: 69916ef63a6c31484908227b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71061e209131cea4ea46.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62321e209131ce9f8328.md>)

Recorded evaluation configuration: {"Training Augmentation":"None"}. This record does not assert independent reproduction.

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