# Surgical Phase Recognition on Bern70 (100%)

Source: [Surgical Phase Recognition on Bern70 (100%)](<https://www.sota2.com/research/sota/surgical-phase-recognition-on-bern70-100-percent>)

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

Data updated: 2026-07-01T07:31:41.316Z

Evaluation of surgical phase recognition performance using the Bern70 (100%) dataset, measured by Accuracy and F1-score.

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 | Surgical Phase Recognition |
| Dataset (including any stated split) | Bern70 (100%) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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](<https://www.sota2.com/research/sota/surgical-phase-recognition-on-bern70-100-percent.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [F1 Score](<https://www.sota2.com/research/sota/surgical-phase-recognition-on-bern70-100-percent.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| HyperVLP | 76.9 | Not recorded | 6a449eeee0224bd4f4992db6 |
| PeskaVLP | 71.5 | Not recorded | 6a449eeee0224bd4f4992db6 |
| HecVL | 70 | Not recorded | 6a449eeee0224bd4f4992db6 |
| Moco | 69.6 | Not recorded | 6a449eeee0224bd4f4992db6 |
| CLIP | 68.2 | Not recorded | 6a449eeee0224bd4f4992db6 |
| SurgVLP | 66.5 | Not recorded | 6a449eeee0224bd4f4992db6 |
| Moco | 66 | Not recorded | 6a449eeee0224bd4f4992db6 |
| ImageNet | 64.7 | Not recorded | 6a449eeee0224bd4f4992db6 |
| CLIP | 64.1 | Not recorded | 6a449eeee0224bd4f4992db6 |

### HyperVLP

Accuracy: 76.9. Result ID: 6a44c25c73d097d845be728c.

[Reporting paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"SVL(VL)","Shot":"100","Linear probing":"true"}. This record does not assert independent reproduction.

### PeskaVLP

Accuracy: 71.5. Result ID: 6a44c25c73d097d845be728b.

[Reporting paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77691e209131cea731fe.md>)

[Implementation](<https://github.com/CAMMA-public/SurgVLP>)

Recorded evaluation configuration: {"Pre-training Dataset":"SVL(VL)","Shot":"100","Linear probing":"true"}. This record does not assert independent reproduction.

### HecVL

Accuracy: 70. Result ID: 6a44c25c73d097d845be728a.

[Reporting paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77691e209131cea731d1.md>)

[Implementation](<https://github.com/CAMMA-public/SurgVLP>)

Recorded evaluation configuration: {"Pre-training Dataset":"SVL(L)","Shot":"100","Linear probing":"true"}. This record does not assert independent reproduction.

### Moco

Accuracy: 69.6. Result ID: 6a44c25c73d097d845be7285.

[Reporting paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa673f1e209131cea15344.md>)

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

Recorded evaluation configuration: {"Pre-training Dataset":"SVL(V)","Shot":"100","Linear probing":"true"}. This record does not assert independent reproduction.

### CLIP

Accuracy: 68.2. Result ID: 6a44c25c73d097d845be7288.

[Reporting paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69581e209131cea21ad0.md>)

[Implementation](<https://github.com/OpenAI/CLIP>)

Recorded evaluation configuration: {"Pre-training Dataset":"SVL(L)","Shot":"100","Linear probing":"true"}. This record does not assert independent reproduction.

### SurgVLP

Accuracy: 66.5. Result ID: 6a44c25c73d097d845be7289.

[Reporting paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa79841e209131cea7df69.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"SVL(L)","Shot":"100","Linear probing":"true"}. This record does not assert independent reproduction.

### Moco

Accuracy: 66. Result ID: 6a44c25c73d097d845be7286.

[Reporting paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa673f1e209131cea15344.md>)

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

Recorded evaluation configuration: {"Pre-training Dataset":"Cholec80","Shot":"100","Linear probing":"true"}. This record does not assert independent reproduction.

### ImageNet

Accuracy: 64.7. Result ID: 6a44c25c73d097d845be7284.

[Reporting paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

Recorded evaluation configuration: {"Pre-training Dataset":"ImageNet","Shot":"100","Linear probing":"true"}. This record does not assert independent reproduction.

### CLIP

Accuracy: 64.1. Result ID: 6a44c25c73d097d845be7287.

[Reporting paper](<https://www.sota2.com/research/paper/6a449eeee0224bd4f4992db6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa69581e209131cea21ad0.md>)

[Implementation](<https://github.com/OpenAI/CLIP>)

Recorded evaluation configuration: {"Pre-training Dataset":"NA(L)","Shot":"100","Linear probing":"true"}. This record does not assert independent reproduction.

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