# 3D Point Cloud Classification on ShapeNet-C

Source: [3D Point Cloud Classification on ShapeNet-C](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c>)

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

Data updated: 2026-06-12T07:28:16.771Z

Evaluation of 3D Point Cloud Classification performance on the ShapeNet-C dataset, reporting robustness metrics across various corruption types (e.g., uniform noise, Gaussian noise, background addition, impulse noise, etc.).

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 | 3D Point Cloud Classification |
| Dataset (including any stated split) | ShapeNet-C |
| Metric | Accuracy (Uniform Noise) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 17 of 17 |
| 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 (Uniform Noise)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Uniform%20Noise)>): Higher is better; unit: PERCENT.

- [Accuracy (Gaussian Noise)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Gaussian%20Noise)>): Higher is better; unit: PERCENT.

- [Accuracy (Background Addition)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Background%20Addition)>): Higher is better; unit: PERCENT.

- [Accuracy (Impulse Noise)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Impulse%20Noise)>): Higher is better; unit: PERCENT.

- [Accuracy (Upsampling)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Upsampling)>): Higher is better; unit: PERCENT.

- [Accuracy (RBF)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(RBF)>): Higher is better; unit: PERCENT.

- [Accuracy (RBF Inverse)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(RBF%20Inverse)>): Higher is better; unit: PERCENT.

- [Accuracy (Density Decrease)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Density%20Decrease)>): Higher is better; unit: PERCENT.

- [Accuracy (Density Increase)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Density%20Increase)>): Higher is better; unit: PERCENT.

- [Accuracy (Shear)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Shear)>): Higher is better; unit: PERCENT.

- [Accuracy (Rotation)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Rotation)>): Higher is better; unit: PERCENT.

- [Accuracy (Cutout)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Cutout)>): Higher is better; unit: PERCENT.

- [Accuracy (Distortion)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Distortion)>): Higher is better; unit: PERCENT.

- [Accuracy (Occlusion)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(Occlusion)>): Higher is better; unit: PERCENT.

- [Accuracy (LiDAR)](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Accuracy%20(LiDAR)>): Higher is better; unit: PERCENT.

- [Mean Accuracy](<https://www.sota2.com/research/sota/3d-point-cloud-classification-on-shapenet-c.md?metric=Mean%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy (Uniform Noise) | Result date | Report paper |
| --- | --- | --- | --- |
| SVWA | 82.04 | Not recorded | 6a2b92bad33dfb23e783b176 |
| MAMVI | 81.7 | Not recorded | 6a2b92bad33dfb23e783b176 |
| SMART-PC | 80.8 | Not recorded | 6a2b92bad33dfb23e783b176 |
| PG-SF | 79.21 | Not recorded | 6a2b92bad33dfb23e783b176 |
| PG-SP | 78.63 | Not recorded | 6a2b92bad33dfb23e783b176 |
| MATE | 77.8 | Not recorded | 6a2b92bad33dfb23e783b176 |
| Source Only | 77.34 | Not recorded | 6a2b92bad33dfb23e783b176 |
| DUA | 76.1 | Not recorded | 6a2b92bad33dfb23e783b176 |
| MEMO | 75.27 | Not recorded | 6a2b92bad33dfb23e783b176 |
| TTT-Rot | 74.6 | Not recorded | 6a2b92bad33dfb23e783b176 |
| LAME | 72.88 | Not recorded | 6a2b92bad33dfb23e783b176 |
| BFTT3D | 72.58 | Not recorded | 6a2b92bad33dfb23e783b176 |
| SAR | 72.49 | Not recorded | 6a2b92bad33dfb23e783b176 |
| TENT | 71.9 | Not recorded | 6a2b92bad33dfb23e783b176 |
| PL | 70.3 | Not recorded | 6a2b92bad33dfb23e783b176 |
| T3A | 66.69 | Not recorded | 6a2b92bad33dfb23e783b176 |
| SHOT | 27.78 | Not recorded | 6a2b92bad33dfb23e783b176 |

### SVWA

Accuracy (Uniform Noise): 82.04. Result ID: 6a2bb504fbc373592c29c029.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa76731e209131cea6d161.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### MAMVI

Accuracy (Uniform Noise): 81.7. Result ID: 6a2bb504fbc373592c29c02a.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### SMART-PC

Accuracy (Uniform Noise): 80.8. Result ID: 6a2bb504fbc373592c29c01d.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78c11e209131cea7a4f0.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"TTT Methods"}. This record does not assert independent reproduction.

### PG-SF

Accuracy (Uniform Noise): 79.21. Result ID: 6a2bb504fbc373592c29c028.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b411e209131cea87531.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### PG-SP

Accuracy (Uniform Noise): 78.63. Result ID: 6a2bb504fbc373592c29c01f.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b411e209131cea87531.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Dependent Methods"}. This record does not assert independent reproduction.

### MATE

Accuracy (Uniform Noise): 77.8. Result ID: 6a2bb504fbc373592c29c01c.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ecf1e209131cea4250a.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"TTT Methods"}. This record does not assert independent reproduction.

### Source Only

Accuracy (Uniform Noise): 77.34. Result ID: 6a2bb504fbc373592c29c01a.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

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

### DUA

Accuracy (Uniform Noise): 76.1. Result ID: 6a2bb504fbc373592c29c025.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c2a1e209131cea3277e.md>)

[Implementation](<https://github.com/jmiemirza/DUA>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### MEMO

Accuracy (Uniform Noise): 75.27. Result ID: 6a2bb504fbc373592c29c026.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6da51e209131cea3b236.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### TTT-Rot

Accuracy (Uniform Noise): 74.6. Result ID: 6a2bb504fbc373592c29c01b.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67d01e209131cea189f7.md>)

[Implementation](<https://test-time-training.github.io/>)

Recorded evaluation configuration: {"Adaptation Protocol":"TTT Methods"}. This record does not assert independent reproduction.

### LAME

Accuracy (Uniform Noise): 72.88. Result ID: 6a2bb504fbc373592c29c024.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c341e209131cea32ca1.md>)

[Implementation](<https://github.com/fiveai/LAME>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### BFTT3D

Accuracy (Uniform Noise): 72.58. Result ID: 6a2bb504fbc373592c29c01e.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72f81e209131cea59a6b.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Dependent Methods"}. This record does not assert independent reproduction.

### SAR

Accuracy (Uniform Noise): 72.49. Result ID: 6a2bb504fbc373592c29c027.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e961e209131cea40e77.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### TENT

Accuracy (Uniform Noise): 71.9. Result ID: 6a2bb504fbc373592c29c021.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69941e209131cea22d2b.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### PL

Accuracy (Uniform Noise): 70.3. Result ID: 6a2bb504fbc373592c29c020.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### T3A

Accuracy (Uniform Noise): 66.69. Result ID: 6a2bb504fbc373592c29c023.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

### SHOT

Accuracy (Uniform Noise): 27.78. Result ID: 6a2bb504fbc373592c29c022.

[Reporting paper](<https://www.sota2.com/research/paper/6a2b92bad33dfb23e783b176.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a0e1e209131cea25d69.md>)

[Implementation](<https://github.com/tim-learn/SHOT>)

Recorded evaluation configuration: {"Adaptation Protocol":"Source-Free Methods"}. This record does not assert independent reproduction.

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