# Multi-view image labeling on RueMonge 2014 (test)

Source: [Multi-view image labeling on RueMonge 2014 (test)](<https://www.sota2.com/research/sota/multi-view-image-labeling-on-ruemonge-2014-test>)

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

Data updated: 2026-02-26T05:35:28.915Z

Evaluation of Multi-view image labeling performance on the test split of the RueMonge 2014 dataset, reporting metrics such as Average IoU and Runtime.

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 | Multi-view image labeling |
| Dataset (including any stated split) | RueMonge 2014 (test) |
| Metric | Average IoU |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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

- [Average IoU](<https://www.sota2.com/research/sota/multi-view-image-labeling-on-ruemonge-2014-test.md?metric=Average%20IoU>): Higher is better; unit: PERCENT.

- [Runtime (min)](<https://www.sota2.com/research/sota/multi-view-image-labeling-on-ruemonge-2014-test.md?metric=Runtime%20(min)>): Lower is better; unit: TIME.

## Recorded results

| Method | Average IoU | Result date | Report paper |
| --- | --- | --- | --- |
| SPLATNet2D-3D | 70.6 | Not recorded | 68fa644d1e209131cea03d85 |
| DeepLab2D | 69.3 | Not recorded | 68fa644d1e209131cea03d85 |
| Autocontext2D-3D | 62.7 | Not recorded | 68fa644d1e209131cea03d85 |
| Autocontext2D | 60.5 | Not recorded | 68fa644d1e209131cea03d85 |

### SPLATNet2D-3D

Average IoU: 70.6. Result ID: 698c2b3a112aeb9460efea92.

[Reporting paper](<https://www.sota2.com/research/paper/68fa644d1e209131cea03d85.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa644d1e209131cea03d85.md>)

[Implementation](<http://vis-www.cs.umass.edu/splatnet>)

Recorded evaluation configuration: {"Input":"2D and 3D"}. This record does not assert independent reproduction.

### DeepLab2D

Average IoU: 69.3. Result ID: 698c2b3a112aeb9460efea91.

[Reporting paper](<https://www.sota2.com/research/paper/68fa644d1e209131cea03d85.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62861e209131ce9f9e83.md>)

[Implementation](<https://bitbucket.org/deeplab/deeplab-public>)

Recorded evaluation configuration: {"Input":"2D"}. This record does not assert independent reproduction.

### Autocontext2D-3D

Average IoU: 62.7. Result ID: 698c2b3a112aeb9460efea90.

[Reporting paper](<https://www.sota2.com/research/paper/68fa644d1e209131cea03d85.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa629d1e209131ce9fa339.md>)

Recorded evaluation configuration: {"Input":"2D and 3D"}. This record does not assert independent reproduction.

### Autocontext2D

Average IoU: 60.5. Result ID: 698c2b3a112aeb9460efea8f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa644d1e209131cea03d85.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa629d1e209131ce9fa339.md>)

Recorded evaluation configuration: {"Input":"2D"}. This record does not assert independent reproduction.

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