# Category-level pose estimation on ImageNet 3D

Source: [Category-level pose estimation on ImageNet 3D](<https://www.sota2.com/research/sota/category-level-pose-estimation-on-imagenet-3d>)

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

Data updated: 2026-06-30T09:54:41.173Z

Evaluation of Category-level pose estimation performance on the ImageNet 3D dataset, reporting Median error (Med) and 30-degree accuracy (Acc30).

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 | Category-level pose estimation |
| Dataset (including any stated split) | ImageNet 3D |
| Metric | Median Error |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 5 of 5 |
| 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

- [Median Error](<https://www.sota2.com/research/sota/category-level-pose-estimation-on-imagenet-3d.md?metric=Median%20Error>): Lower is better; unit: SCALAR.

- [Accuracy (30 deg)](<https://www.sota2.com/research/sota/category-level-pose-estimation-on-imagenet-3d.md?metric=Accuracy%20(30%20deg)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Median Error | Result date | Report paper |
| --- | --- | --- | --- |
| Ours | 25.5 | Not recorded | 6a434d94ba73165dbb743bce |
| OriAny.V1† | 25.7 | Not recorded | 6a434d94ba73165dbb743bce |
| OriAny.V2† | 28.1 | Not recorded | 6a434d94ba73165dbb743bce |
| OriAny.V1 | 29.7 | Not recorded | 6a434d94ba73165dbb743bce |
| QWEN3-VL | 66.5 | Not recorded | 6a434d94ba73165dbb743bce |

### Ours

Median Error: 25.5. Result ID: 6a439246fbc373592c96075a.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d94ba73165dbb743bce.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a434d94ba73165dbb743bce.md>)

Recorded evaluation configuration: {"Canonical pose labels":"✘","Training data":"R."}. This record does not assert independent reproduction.

### OriAny.V1†

Median Error: 25.7. Result ID: 6a439246fbc373592c960758.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d94ba73165dbb743bce.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76581e209131cea6c7fd.md>)

Recorded evaluation configuration: {"Canonical pose labels":"✔","Training data":"R.+S."}. This record does not assert independent reproduction.

### OriAny.V2†

Median Error: 28.1. Result ID: 6a439246fbc373592c960759.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d94ba73165dbb743bce.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69647fe953fdd5c361744798.md>)

[Implementation](<https://github.com/SpatialVision/Orient-Anything-V2>)

Recorded evaluation configuration: {"Canonical pose labels":"✔","Training data":"R.+S."}. This record does not assert independent reproduction.

### OriAny.V1

Median Error: 29.7. Result ID: 6a439246fbc373592c960757.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d94ba73165dbb743bce.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76581e209131cea6c7fd.md>)

Recorded evaluation configuration: {"Canonical pose labels":"✔","Training data":"S."}. This record does not assert independent reproduction.

### QWEN3-VL

Median Error: 66.5. Result ID: 6a439246fbc373592c960756.

[Reporting paper](<https://www.sota2.com/research/paper/6a434d94ba73165dbb743bce.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6927db54d6b0dd3342930f66.md>)

Recorded evaluation configuration: {"Canonical pose labels":"✔","Training data":"R.+S."}. This record does not assert independent reproduction.

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