# Part Segmentation on PartImageNet (val)

Source: [Part Segmentation on PartImageNet (val)](<https://www.sota2.com/research/sota/part-segmentation-on-partimagenet-val>)

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

Data updated: 2026-02-26T06:10:31.424Z

Evaluation of Part Segmentation performance on the validation split of the PartImageNet dataset, reporting metrics like mIoU and mACC.

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 | Part Segmentation |
| Dataset (including any stated split) | PartImageNet (val) |
| Metric | mIoU |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 13 of 13 |
| 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

- [mIoU](<https://www.sota2.com/research/sota/part-segmentation-on-partimagenet-val.md?metric=mIoU>): Higher is better; unit: PERCENT.

- [mACC](<https://www.sota2.com/research/sota/part-segmentation-on-partimagenet-val.md?metric=mACC>): Higher is better; unit: PERCENT.

## Recorded results

| Method | mIoU | Result date | Report paper |
| --- | --- | --- | --- |
| Compositor | 64.64 | Not recorded | 68fa715a1e209131cea50c93 |
| MaskFormer | 63.96 | Not recorded | 68fa715a1e209131cea50c93 |
| UniLSeg | 63.87 | Not recorded | 68fa75d61e209131cea6a28a |
| UniLSeg | 62.46 | Not recorded | 68fa75d61e209131cea6a28a |
| SegFormer | 61.97 | Not recorded | 68fa715a1e209131cea50c93 |
| SegFormer | 61.97 | Not recorded | 68fa75d61e209131cea6a28a |
| MaskFormer-Dual | 61.69 | Not recorded | 68fa715a1e209131cea50c93 |
| Compositor | 61.44 | Not recorded | 68fa715a1e209131cea50c93 |
| Deeplab v3+ | 60.57 | Not recorded | 68fa715a1e209131cea50c93 |
| DeepLabV3+ | 60.57 | Not recorded | 68fa75d61e209131cea6a28a |
| MaskFormer | 60.34 | Not recorded | 68fa715a1e209131cea50c93 |
| MaskFormer-Dual | 58.02 | Not recorded | 68fa715a1e209131cea50c93 |
| SemanticFPN | 56.76 | Not recorded | 68fa75d61e209131cea6a28a |

### Compositor

mIoU: 64.64. Result ID: 6991acef3a6c31484909d1f3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

[Implementation](<https://github.com/TACJu/Compositor>)

Recorded evaluation configuration: {"backbone":"Swin-T","params":"51M","training strategy":"Models on parts and objects are trained jointly"}. This record does not assert independent reproduction.

### MaskFormer

mIoU: 63.96. Result ID: 6991acef3a6c31484909d1f1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2e1e209131cea2ca07.md>)

[Implementation](<https://bowenc0221.github.io/maskformer>)

Recorded evaluation configuration: {"backbone":"Swin-T","params":"92M (46M×2)","training strategy":"Models on parts and objects are trained separately"}. This record does not assert independent reproduction.

### UniLSeg

mIoU: 63.87. Result ID: 699402463a6c3148491a4c16.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75d61e209131cea6a28a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d61e209131cea6a28a.md>)

Recorded evaluation configuration: {"SA-1B training data scale":"100%"}. This record does not assert independent reproduction.

### UniLSeg

mIoU: 62.46. Result ID: 699402463a6c3148491a4c15.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75d61e209131cea6a28a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75d61e209131cea6a28a.md>)

Recorded evaluation configuration: {"SA-1B training data scale":"20%"}. This record does not assert independent reproduction.

### SegFormer

mIoU: 61.97. Result ID: 6991acef3a6c31484909d1f0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c997.md>)

[Implementation](<https://www.sota2.com/github.com/NVlabs/SegFormer>)

Recorded evaluation configuration: {"backbone":"MiT-B2","params":"48M (24M×2)","training strategy":"Models on parts and objects are trained separately"}. This record does not assert independent reproduction.

### SegFormer

mIoU: 61.97. Result ID: 699402463a6c3148491a4c14.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75d61e209131cea6a28a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2d1e209131cea2c997.md>)

[Implementation](<https://www.sota2.com/github.com/NVlabs/SegFormer>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### MaskFormer-Dual

mIoU: 61.69. Result ID: 6991acef3a6c31484909d1f2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

Recorded evaluation configuration: {"backbone":"Swin-T","params":"51M","training strategy":"Models on parts and objects are trained jointly"}. This record does not assert independent reproduction.

### Compositor

mIoU: 61.44. Result ID: 6991acef3a6c31484909d1ef.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

[Implementation](<https://github.com/TACJu/Compositor>)

Recorded evaluation configuration: {"backbone":"ResNet-50","params":"50M","training strategy":"Models on parts and objects are trained jointly"}. This record does not assert independent reproduction.

### Deeplab v3+

mIoU: 60.57. Result ID: 6991acef3a6c31484909d1ec.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64b91e209131cea06121.md>)

[Implementation](<https://github.com/tensorflow/models/tree/master/research/deeplab>)

Recorded evaluation configuration: {"backbone":"ResNet-50","params":"84M (42M×2)","training strategy":"Models on parts and objects are trained separately"}. This record does not assert independent reproduction.

### DeepLabV3+

mIoU: 60.57. Result ID: 699402463a6c3148491a4c13.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75d61e209131cea6a28a.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### MaskFormer

mIoU: 60.34. Result ID: 6991acef3a6c31484909d1ed.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b2e1e209131cea2ca07.md>)

[Implementation](<https://bowenc0221.github.io/maskformer>)

Recorded evaluation configuration: {"backbone":"ResNet-50","params":"90M (45M×2)","training strategy":"Models on parts and objects are trained separately"}. This record does not assert independent reproduction.

### MaskFormer-Dual

mIoU: 58.02. Result ID: 6991acef3a6c31484909d1ee.

[Reporting paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c93.md>)

Recorded evaluation configuration: {"backbone":"ResNet-50","params":"50M","training strategy":"Models on parts and objects are trained jointly"}. This record does not assert independent reproduction.

### SemanticFPN

mIoU: 56.76. Result ID: 699402463a6c3148491a4c12.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75d61e209131cea6a28a.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65a41e209131cea0b8b3.md>)

[Implementation](<https://github.com/facebookresearch/detectron>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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