# Semantic Segmentation on EXPo Drone-to-Quadruped v1 (test)

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

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

Data updated: 2026-02-26T05:30:26.242Z

Evaluation of Semantic Segmentation performance on the test split of the EXPo Drone-to-Quadruped v1 dataset, reporting overall accuracy metrics (Acc, mAcc, mIoU, fIoU) and per-class metrics for categories like ground, road, person, and vehicle components.

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 v1 (test) |
| 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-drone-to-quadruped-v1-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

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

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

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

- [Class Ground Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Ground%20Score>): Higher is better; unit: PERCENT.

- [Class Building Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Building%20Score>): Higher is better; unit: PERCENT.

- [Class Fence Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Fence%20Score>): Higher is better; unit: PERCENT.

- [Class Person Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Person%20Score>): Higher is better; unit: PERCENT.

- [Class Pole Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Pole%20Score>): Higher is better; unit: PERCENT.

- [Class Road Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Road%20Score>): Higher is better; unit: PERCENT.

- [Class Sidewalk Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Sidewalk%20Score>): Higher is better; unit: PERCENT.

- [Class Vegetation Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Vegetation%20Score>): Higher is better; unit: PERCENT.

- [Class Car Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Car%20Score>): Higher is better; unit: PERCENT.

- [Class Wall Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Wall%20Score>): Higher is better; unit: PERCENT.

- [Class Sign Score](<https://www.sota2.com/research/sota/semantic-segmentation-on-expo-drone-to-quadruped-v1-test.md?metric=Class%20Sign%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Target | 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

Accuracy: 80.02. Result ID: 6995561f3badfaffe646aa86.

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

Recorded evaluation configuration: {"adaptation\_mode":"supervised","training\_source":"quadruped ground truth"}. This record does not assert independent reproduction.

### EventFly

Accuracy: 69.68. Result ID: 6995561f3badfaffe646aa85.

[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":"UDA","source":"drone","target":"quadruped"}. This record does not assert independent reproduction.

### PLSR

Accuracy: 67.83. Result ID: 6995561f3badfaffe646aa84.

[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":"UDA","source":"drone","target":"quadruped"}. This record does not assert independent reproduction.

### DACS

Accuracy: 67.73. Result ID: 6995561f3badfaffe646aa82.

[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":"UDA","source":"drone","target":"quadruped"}. This record does not assert independent reproduction.

### AdaptSegNet

Accuracy: 67.57. Result ID: 6995561f3badfaffe646aa81.

[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":"UDA","source":"drone","target":"quadruped"}. This record does not assert independent reproduction.

### MIC

Accuracy: 67.29. Result ID: 6995561f3badfaffe646aa83.

[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":"UDA","source":"drone","target":"quadruped"}. This record does not assert independent reproduction.

### Source-Only

Accuracy: 66.83. Result ID: 6995561f3badfaffe646aa80.

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

Recorded evaluation configuration: {"adaptation\_mode":"none","training\_source":"drone"}. This record does not assert independent reproduction.

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