# Semantic Segmentation on ImageNet (val)

Source: [Semantic Segmentation on ImageNet (val)](<https://www.sota2.com/research/sota/semantic-segmentation-on-imagenet-val>)

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

Data updated: 2026-02-26T05:29:17.716Z

Evaluation of Semantic Segmentation performance on the validation 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 | Semantic Segmentation |
| Dataset (including any stated split) | ImageNet (val) |
| Metric | Accuracy |
| 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](<https://www.sota2.com/research/sota/semantic-segmentation-on-imagenet-val.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-imagenet-val.md?metric=mIoU>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Supervised UNet | 85.7 | Not recorded | 68fa71611e209131cea50faa |
| Factorized Diffusion Architectures | 80.7 | Not recorded | 68fa71611e209131cea50faa |
| DatasetDDPM-unsup. | 74.1 | Not recorded | 68fa71611e209131cea50faa |

### Supervised UNet

Accuracy: 85.7. Result ID: 6991af8d3a6c31484909e531.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71611e209131cea50faa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61e11e209131ce9f653d.md>)

[Implementation](<http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net>)

Recorded evaluation configuration: {"type":"Supervised"}. This record does not assert independent reproduction.

### Factorized Diffusion Architectures

Accuracy: 80.7. Result ID: 6991af8d3a6c31484909e533.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71611e209131cea50faa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71611e209131cea50faa.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### DatasetDDPM-unsup.

Accuracy: 74.1. Result ID: 6991af8d3a6c31484909e532.

[Reporting paper](<https://www.sota2.com/research/paper/68fa71611e209131cea50faa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bfb1e209131cea3166c.md>)

Recorded evaluation configuration: {"type":"Unsupervised"}. This record does not assert independent reproduction.

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