# Image Classification on Office-Home 28

Source: [Image Classification on Office-Home 28](<https://www.sota2.com/research/sota/image-classification-on-office-home-28>)

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

Data updated: 2026-02-26T05:34:08.799Z

Evaluation of Image Classification performance on the Office-Home 28 dataset, reporting accuracy results segmented by the four constituent domains (Art, Clipart, Product, Real) 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) | Office-Home 28 |
| Metric | Accuracy (Art) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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 (Art)](<https://www.sota2.com/research/sota/image-classification-on-office-home-28.md?metric=Accuracy%20(Art)>): Higher is better; unit: PERCENT.

- [Accuracy (Clipart)](<https://www.sota2.com/research/sota/image-classification-on-office-home-28.md?metric=Accuracy%20(Clipart)>): Higher is better; unit: PERCENT.

- [Accuracy (Product)](<https://www.sota2.com/research/sota/image-classification-on-office-home-28.md?metric=Accuracy%20(Product)>): Higher is better; unit: PERCENT.

- [Accuracy (Real)](<https://www.sota2.com/research/sota/image-classification-on-office-home-28.md?metric=Accuracy%20(Real)>): Higher is better; unit: PERCENT.

- [Accuracy (Overall)](<https://www.sota2.com/research/sota/image-classification-on-office-home-28.md?metric=Accuracy%20(Overall)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Art) | Result date | Report paper |
| --- | --- | --- | --- |
| RSC | 58.42 | Not recorded | 68fa67ec1e209131cea19278 |
| JiGen | 53.04 | Not recorded | 68fa67ec1e209131cea19278 |
| Baseline | 52.15 | Not recorded | 68fa67ec1e209131cea19278 |

### RSC

Accuracy (Art): 58.42. Result ID: 698d4c438b517eb43320732e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67ec1e209131cea19278.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67ec1e209131cea19278.md>)

Recorded evaluation configuration: {"backbone":"ResNet18"}. This record does not assert independent reproduction.

### JiGen

Accuracy (Art): 53.04. Result ID: 698d4c438b517eb43320732d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67ec1e209131cea19278.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66391e209131cea0ef3c.md>)

[Implementation](<https://github.com/fmcarlucci/JigenDG>)

Recorded evaluation configuration: {"backbone":"ResNet18"}. This record does not assert independent reproduction.

### Baseline

Accuracy (Art): 52.15. Result ID: 698d4c438b517eb43320732c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa67ec1e209131cea19278.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66391e209131cea0ef3c.md>)

[Implementation](<https://github.com/fmcarlucci/JigenDG>)

Recorded evaluation configuration: {"backbone":"ResNet18"}. This record does not assert independent reproduction.

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