# Face Verification on LFW BLUFR protocol (test)

Source: [Face Verification on LFW BLUFR protocol (test)](<https://www.sota2.com/research/sota/face-verification-on-lfw-blufr-protocol-test>)

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

Data updated: 2026-02-26T06:08:04.751Z

Evaluation of face verification performance on the Labeled Faces in the Wild (LFW) dataset specifically using the BLUFR protocol on the test set, measured by Verification Rate at a 0.1% False Acceptance Rate.

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 | Face Verification |
| Dataset (including any stated split) | LFW BLUFR protocol (test) |
| Metric | VR @ FAR=0.1% |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| 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

- [VR @ FAR=0.1%](<https://www.sota2.com/research/sota/face-verification-on-lfw-blufr-protocol-test.md?metric=VR%20%40%20FAR%3D0.1%25>): Higher is better; unit: PERCENT.

## Recorded results

| Method | VR @ FAR=0.1% | Result date | Report paper |
| --- | --- | --- | --- |
| Proposed Deep Model | 87.65 | Not recorded | 68fa61fe1e209131ce9f6faa |
| Proposed Deep Model | 83.39 | Not recorded | 68fa61fe1e209131ce9f6faa |
| Li et al. | 80.26 | Not recorded | 68fa61fe1e209131ce9f6faa |
| COTS | 58.56 | Not recorded | 68fa61fe1e209131ce9f6faa |
| HDLBP+JB | 41.66 | Not recorded | 68fa61fe1e209131ce9f6faa |
| HDLBP+LDA | 36.12 | Not recorded | 68fa61fe1e209131ce9f6faa |

### Proposed Deep Model

VR @ FAR=0.1%: 87.65. Result ID: 698bd0e77a967eddb7718e36.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61fe1e209131ce9f6faa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61fe1e209131ce9f6faa.md>)

Recorded evaluation configuration: {"number of nets":"7","metric":"Cosine"}. This record does not assert independent reproduction.

### Proposed Deep Model

VR @ FAR=0.1%: 83.39. Result ID: 698bd0e77a967eddb7718e35.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61fe1e209131ce9f6faa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61fe1e209131ce9f6faa.md>)

Recorded evaluation configuration: {"number of nets":"1","metric":"Cosine"}. This record does not assert independent reproduction.

### Li et al.

VR @ FAR=0.1%: 80.26. Result ID: 698bd0e77a967eddb7718e33.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61fe1e209131ce9f6faa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61971e209131ce9f4ef4.md>)

Recorded evaluation configuration: {"Training Setting":"Joint-Bayes"}. This record does not assert independent reproduction.

### COTS

VR @ FAR=0.1%: 58.56. Result ID: 698bd0e77a967eddb7718e34.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61fe1e209131ce9f6faa.md>)

Recorded evaluation configuration: {"Training Setting":"N/A"}. This record does not assert independent reproduction.

### HDLBP+JB

VR @ FAR=0.1%: 41.66. Result ID: 698bd0e77a967eddb7718e31.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61fe1e209131ce9f6faa.md>)

Recorded evaluation configuration: {"Training Setting":"Joint-Bayes"}. This record does not assert independent reproduction.

### HDLBP+LDA

VR @ FAR=0.1%: 36.12. Result ID: 698bd0e77a967eddb7718e32.

[Reporting paper](<https://www.sota2.com/research/paper/68fa61fe1e209131ce9f6faa.md>)

Recorded evaluation configuration: {"Training Setting":"LDA"}. This record does not assert independent reproduction.

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