# Semantic Segmentation on EXPo drone to quadruped 1.0 (test)

Source: [Semantic Segmentation on EXPo drone to quadruped 1.0 (test)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test>)

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

Data updated: 2026-02-26T05:34:22.721Z

Evaluation of Semantic Segmentation performance on the test split of the EXPo drone-to-quadruped translation dataset (v1.0). Metrics include overall accuracy (Acc, mAcc, mIoU, fIoU) and per-class metrics for 11 categories such as ground, road, and car.

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 drone to quadruped 1.0 (test) |
| Metric | Accuracy (Overall) |
| 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 (Overall)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=Accuracy%20(Overall)>): Higher is better; unit: PERCENT.

- [Mean Accuracy (mAcc)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=Mean%20Accuracy%20(mAcc)>): Higher is better; unit: PERCENT.

- [mIoU (Mean IoU)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=mIoU%20(Mean%20IoU)>): Higher is better; unit: PERCENT.

- [fIoU (Frequency Weighted IoU)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=fIoU%20(Frequency%20Weighted%20IoU)>): Higher is better; unit: PERCENT.

- [IoU (ground)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(ground)>): Higher is better; unit: PERCENT.

- [IoU (building)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(building)>): Higher is better; unit: PERCENT.

- [IoU (fence)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(fence)>): Higher is better; unit: PERCENT.

- [IoU (person)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(person)>): Higher is better; unit: PERCENT.

- [IoU (pole)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(pole)>): Higher is better; unit: PERCENT.

- [IoU (road)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(road)>): Higher is better; unit: PERCENT.

- [IoU (sidewalk)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(sidewalk)>): Higher is better; unit: PERCENT.

- [IoU (veg)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(veg)>): Higher is better; unit: PERCENT.

- [IoU (car)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(car)>): Higher is better; unit: PERCENT.

- [IoU (wall)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(wall)>): Higher is better; unit: PERCENT.

- [IoU (sign)](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-1-0-test.md?metric=IoU%20(sign)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Overall) | Result date | Report paper |
| --- | --- | --- | --- |
| Target (Oracle) | 80.02 | Not recorded | 68fa779f1e209131cea746f8 |
| EventFly | 69.68 | Not recorded | 68fa779f1e209131cea746f8 |
| PLSR | 67.83 | Not recorded | 68fa779f1e209131cea746f8 |
| DACS | 67.73 | Not recorded | 68fa779f1e209131cea746f8 |
| AdaptSegNet | 67.57 | Not recorded | 68fa779f1e209131cea746f8 |
| MIC | 67.29 | Not recorded | 68fa779f1e209131cea746f8 |
| Source-Only | 66.83 | Not recorded | 68fa779f1e209131cea746f8 |

### Target (Oracle)

Accuracy (Overall): 80.02. Result ID: 6995561f3badfaffe646aa8d.

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

Recorded evaluation configuration: {"adaptation\_mode":"Supervised on Target Domain"}. This record does not assert independent reproduction.

### EventFly

Accuracy (Overall): 69.68. Result ID: 6995561f3badfaffe646aa8c.

[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: {"adaptation\_mode":"Unsupervised Domain Adaptation"}. This record does not assert independent reproduction.

### PLSR

Accuracy (Overall): 67.83. Result ID: 6995561f3badfaffe646aa8b.

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

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

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

### DACS

Accuracy (Overall): 67.73. Result ID: 6995561f3badfaffe646aa89.

[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: {"adaptation\_mode":"Unsupervised Domain Adaptation"}. This record does not assert independent reproduction.

### AdaptSegNet

Accuracy (Overall): 67.57. Result ID: 6995561f3badfaffe646aa88.

[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: {"adaptation\_mode":"Unsupervised Domain Adaptation"}. This record does not assert independent reproduction.

### MIC

Accuracy (Overall): 67.29. Result ID: 6995561f3badfaffe646aa8a.

[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: {"adaptation\_mode":"Unsupervised Domain Adaptation"}. This record does not assert independent reproduction.

### Source-Only

Accuracy (Overall): 66.83. Result ID: 6995561f3badfaffe646aa87.

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

Recorded evaluation configuration: {"adaptation\_mode":"None (Source Only)"}. This record does not assert independent reproduction.

Page 1 of 1. This is an index page, not the full collection.
