# FPS on 3D Object Detection on KITTI (val)

Source: [FPS on 3D Object Detection on KITTI (val)](<https://www.sota2.com/research/sota/fps-on-3d-object-detection-on-kitti-val>)

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

Data updated: 2026-02-26T05:44:57.730Z

Evaluation of the inference speed (throughput) for 3D Object Detection models on the KITTI validation set, measured in Frames Per Second (FPS).

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 Object Detection |
| Dataset (including any stated split) | KITTI (val) |
| Metric | FPS |
| Unit | TIME |
| Direction | Higher 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

- [FPS](<https://www.sota2.com/research/sota/fps-on-3d-object-detection-on-kitti-val.md?metric=FPS>): Higher is better; unit: TIME.

## Recorded results

| Method | FPS | Result date | Report paper |
| --- | --- | --- | --- |
| 3D-CVF | 16.7 | Not recorded | 68fa6cf11e209131cea36b3e |
| SFD | 10.2 | Not recorded | 68fa6cf11e209131cea36b3e |
| EPNet | 10 | Not recorded | 68fa6cf11e209131cea36b3e |
| F-PointNet | 5.9 | Not recorded | 68fa6cf11e209131cea36b3e |
| PointPainting | 2.5 | Not recorded | 68fa6cf11e209131cea36b3e |

### 3D-CVF

FPS: 16.7. Result ID: 698f4d0e3a6c314849f7c4ad.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf11e209131cea36b3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68db1e209131cea1eb60.md>)

Recorded evaluation configuration: {"GPU":"NVIDIA RTX 2080 Ti"}. This record does not assert independent reproduction.

### SFD

FPS: 10.2. Result ID: 698f4d0e3a6c314849f7c4a9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf11e209131cea36b3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cf11e209131cea36b3e.md>)

[Implementation](<https://github.com/LittlePey/SFD>)

Recorded evaluation configuration: {"GPU":"NVIDIA RTX 2080 Ti"}. This record does not assert independent reproduction.

### EPNet

FPS: 10. Result ID: 698f4d0e3a6c314849f7c4ac.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf11e209131cea36b3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68fb1e209131cea1f86c.md>)

[Implementation](<https://careersinfo.uber.com/ai-residency>)

Recorded evaluation configuration: {"GPU":"NVIDIA RTX 2080 Ti"}. This record does not assert independent reproduction.

### F-PointNet

FPS: 5.9. Result ID: 698f4d0e3a6c314849f7c4ab.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf11e209131cea36b3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64481e209131cea03af0.md>)

Recorded evaluation configuration: {"GPU":"NVIDIA RTX 2080 Ti"}. This record does not assert independent reproduction.

### PointPainting

FPS: 2.5. Result ID: 698f4d0e3a6c314849f7c4aa.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6cf11e209131cea36b3e.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa677a1e209131cea16a77.md>)

Recorded evaluation configuration: {"GPU":"NVIDIA RTX 2080 Ti"}. This record does not assert independent reproduction.

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