# Semantic Segmentation on EXPo quadruped to vehicle v1.0

Source: [Semantic Segmentation on EXPo quadruped to vehicle v1.0](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0>)

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

Data updated: 2026-02-26T05:30:26.223Z

Evaluation of Semantic Segmentation performance on the EXPo quadruped to vehicle v1.0 dataset, reporting overall accuracy metrics (Acc, mAcc, mIoU) and per-class IoU/accuracy for categories like ground, person, and road.

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) | EXPo quadruped to vehicle v1.0 |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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-expo-quadruped-to-vehicle-v1-0.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Mean Accuracy](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=Mean%20Accuracy>): Higher is better; unit: PERCENT.

- [mIoU](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=mIoU>): Higher is better; unit: PERCENT.

- [IoU (Frequency Weighted)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(Frequency%20Weighted)>): Higher is better; unit: PERCENT.

- [IoU (ground)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(ground)>): Higher is better; unit: PERCENT.

- [IoU (fence)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(fence)>): Higher is better; unit: PERCENT.

- [IoU (person)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(person)>): Higher is better; unit: PERCENT.

- [IoU (pole)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(pole)>): Higher is better; unit: PERCENT.

- [IoU (road)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(road)>): Higher is better; unit: PERCENT.

- [IoU (sidewalk)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(sidewalk)>): Higher is better; unit: PERCENT.

- [IoU (veg)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(veg)>): Higher is better; unit: PERCENT.

- [IoU (wall)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(wall)>): Higher is better; unit: PERCENT.

- [IoU (sign)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-quadruped-to-vehicle-v1-0.md?metric=IoU%20(sign)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Target | 86.12 | Not recorded | 68fa779f1e209131cea746f8 |
| EventFly | 73.93 | Not recorded | 68fa779f1e209131cea746f8 |
| PLSR | 72.93 | Not recorded | 68fa779f1e209131cea746f8 |
| MIC | 72.46 | Not recorded | 68fa779f1e209131cea746f8 |
| DACS | 71.2 | Not recorded | 68fa779f1e209131cea746f8 |
| AdaptSegNet | 66.74 | Not recorded | 68fa779f1e209131cea746f8 |
| Source-Only | 57.49 | Not recorded | 68fa779f1e209131cea746f8 |

### Target

Accuracy: 86.12. Result ID: 6995561f3badfaffe646aa78.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746f8.md>)

Recorded evaluation configuration: {"training\_paradigm":"Supervised (Target domain labels)"}. This record does not assert independent reproduction.

### EventFly

Accuracy: 73.93. Result ID: 6995561f3badfaffe646aa77.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746f8.md>)

[Implementation](<https://event-fly.github.io/>)

Recorded evaluation configuration: {"training\_paradigm":"Unsupervised Domain Adaptation"}. This record does not assert independent reproduction.

### PLSR

Accuracy: 72.93. Result ID: 6995561f3badfaffe646aa76.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71ab1e209131cea5273d.md>)

Recorded evaluation configuration: {"training\_paradigm":"Unsupervised Domain Adaptation"}. This record does not assert independent reproduction.

### MIC

Accuracy: 72.46. Result ID: 6995561f3badfaffe646aa75.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ee41e209131cea42b0d.md>)

[Implementation](<https://github.com/lhoyer/MIC>)

Recorded evaluation configuration: {"training\_paradigm":"Unsupervised Domain Adaptation"}. This record does not assert independent reproduction.

### DACS

Accuracy: 71.2. Result ID: 6995561f3badfaffe646aa74.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68d91e209131cea1eaa7.md>)

[Implementation](<https://github.com/vikolss/DACS>)

Recorded evaluation configuration: {"training\_paradigm":"Unsupervised Domain Adaptation"}. This record does not assert independent reproduction.

### AdaptSegNet

Accuracy: 66.74. Result ID: 6995561f3badfaffe646aa73.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746f8.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67eb1e209131cea19203.md>)

[Implementation](<https://github.com/wasidennis/AdaptSegNet>)

Recorded evaluation configuration: {"training\_paradigm":"Unsupervised Domain Adaptation"}. This record does not assert independent reproduction.

### Source-Only

Accuracy: 57.49. Result ID: 6995561f3badfaffe646aa72.

[Reporting paper](<https://www.sota2.com/research/paper/68fa779f1e209131cea746f8.md>)

Recorded evaluation configuration: {"training\_paradigm":"Source-only (No adaptation)"}. This record does not assert independent reproduction.

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