# Semantic Segmentation on NYU v2 (mIoU, SS/FS %)

Source: [Semantic Segmentation on NYU v2 (mIoU, SS/FS %)](<https://www.sota2.com/research/sota/semantic-segmentation-on-nyu-v2-miou-ss-fs-percent>)

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

Data updated: 2026-03-09T09:01:04.580Z

Evaluation of Semantic Segmentation performance on the NYU v2 dataset, reporting Mean Intersection over Union (mIoU) and a specific segmentation score (SS/FS %).

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) | NYU v2 |
| Metric | mIoU |
| 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

- [mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-nyu-v2-miou-ss-fs-percent.md?metric=mIoU>): Higher is better; unit: PERCENT.

- [SS/FS Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-nyu-v2-miou-ss-fs-percent.md?metric=SS%2FFS%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mIoU | Result date | Report paper |
| --- | --- | --- | --- |
| Fully Supervised | 51.1 | Not recorded | 69ae54002d603e6de3e42b3a |
| Ours (Recon) | 46.1 | Not recorded | 69ae54002d603e6de3e42b3a |
| SASFormer | 44.7 | Not recorded | 69ae54002d603e6de3e42b3a |
| Ours (Real 3D) | 44.7 | Not recorded | 69ae54002d603e6de3e42b3a |
| EMA | 42.9 | Not recorded | 69ae54002d603e6de3e42b3a |
| TEL | 38.3 | Not recorded | 69ae54002d603e6de3e42b3a |

### Fully Supervised

mIoU: 51.1. Result ID: 69ae8c3a6dbb7075b956de12.

[Reporting paper](<https://www.sota2.com/research/paper/69ae54002d603e6de3e42b3a.md>)

Recorded evaluation configuration: {"Backbone":"Segformer-B4","3D Supervision":"–"}. This record does not assert independent reproduction.

### Ours (Recon)

mIoU: 46.1. Result ID: 69ae8c3a6dbb7075b956de17.

[Reporting paper](<https://www.sota2.com/research/paper/69ae54002d603e6de3e42b3a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ae54002d603e6de3e42b3a.md>)

Recorded evaluation configuration: {"Backbone":"Segformer-B4","3D Supervision":"Recon."}. This record does not assert independent reproduction.

### SASFormer

mIoU: 44.7. Result ID: 69ae8c3a6dbb7075b956de14.

[Reporting paper](<https://www.sota2.com/research/paper/69ae54002d603e6de3e42b3a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ead1e209131cea4154b.md>)

Recorded evaluation configuration: {"Backbone":"Segformer-B4","3D Supervision":"–"}. This record does not assert independent reproduction.

### Ours (Real 3D)

mIoU: 44.7. Result ID: 69ae8c3a6dbb7075b956de16.

[Reporting paper](<https://www.sota2.com/research/paper/69ae54002d603e6de3e42b3a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ae54002d603e6de3e42b3a.md>)

Recorded evaluation configuration: {"Backbone":"Segformer-B4","3D Supervision":"LiDAR/Depth"}. This record does not assert independent reproduction.

### EMA

mIoU: 42.9. Result ID: 69ae8c3a6dbb7075b956de13.

[Reporting paper](<https://www.sota2.com/research/paper/69ae54002d603e6de3e42b3a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64481e209131cea03b45.md>)

[Implementation](<https://github.com/CuriousAI/mean-teacher>)

Recorded evaluation configuration: {"Backbone":"Segformer-B4","3D Supervision":"–"}. This record does not assert independent reproduction.

### TEL

mIoU: 38.3. Result ID: 69ae8c3a6dbb7075b956de15.

[Reporting paper](<https://www.sota2.com/research/paper/69ae54002d603e6de3e42b3a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c0c1e209131cea31af6.md>)

[Implementation](<https://github.com/megvii-research/TreeEnergyLoss>)

Recorded evaluation configuration: {"Backbone":"DeepLabV3+","3D Supervision":"–"}. This record does not assert independent reproduction.

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