# Visual Question Answering on OK-VQA OOD 5k

Source: [Visual Question Answering on OK-VQA OOD 5k](<https://www.sota2.com/research/sota/visual-question-answering-on-ok-vqa-ood-5k>)

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

Data updated: 2026-04-20T08:24:54.021Z

Evaluation of model performance on the Out-of-Distribution 5k subset of the OK-VQA dataset for Visual Question Answering, measured by VQA Score and Any Match percentage.

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 | Visual Question Answering |
| Dataset (including any stated split) | OK-VQA OOD 5k |
| Metric | VQA Score |
| Unit | PERCENT |
| 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

- [VQA Score](<https://www.sota2.com/research/sota/visual-question-answering-on-ok-vqa-ood-5k.md?metric=VQA%20Score>): Higher is better; unit: PERCENT.

- [Any Match](<https://www.sota2.com/research/sota/visual-question-answering-on-ok-vqa-ood-5k.md?metric=Any%20Match>): Higher is better; unit: PERCENT.

## Recorded results

| Method | VQA Score | Result date | Report paper |
| --- | --- | --- | --- |
| AEGIS | 60.23 | Not recorded | 69e5b3227d0172140ec7e0aa |
| Pre-trained Baseline | 60.15 | Not recorded | 69e5b3227d0172140ec7e0aa |
| Stop-Gradient + FAST | 59.61 | Not recorded | 69e5b3227d0172140ec7e0aa |
| LoRA Fine-Tuning | 59.32 | Not recorded | 69e5b3227d0172140ec7e0aa |
| Naive Fine-Tuning | 57.36 | Not recorded | 69e5b3227d0172140ec7e0aa |

### AEGIS

VQA Score: 60.23. Result ID: 69e5e2d247f34ce924cc05ce.

[Reporting paper](<https://www.sota2.com/research/paper/69e5b3227d0172140ec7e0aa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e5b3227d0172140ec7e0aa.md>)

Recorded evaluation configuration: {"Condition":"AEGIS (ours)"}. This record does not assert independent reproduction.

### Pre-trained Baseline

VQA Score: 60.15. Result ID: 69e5e2d247f34ce924cc05ca.

[Reporting paper](<https://www.sota2.com/research/paper/69e5b3227d0172140ec7e0aa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa751e1e209131cea65e0c.md>)

Recorded evaluation configuration: {"Condition":"Pre-trained Baseline"}. This record does not assert independent reproduction.

### Stop-Gradient + FAST

VQA Score: 59.61. Result ID: 69e5e2d247f34ce924cc05cc.

[Reporting paper](<https://www.sota2.com/research/paper/69e5b3227d0172140ec7e0aa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa783a1e209131cea774f1.md>)

Recorded evaluation configuration: {"Condition":"Stop-Gradient + FAST"}. This record does not assert independent reproduction.

### LoRA Fine-Tuning

VQA Score: 59.32. Result ID: 69e5e2d247f34ce924cc05cd.

[Reporting paper](<https://www.sota2.com/research/paper/69e5b3227d0172140ec7e0aa.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78551e209131cea77c32.md>)

Recorded evaluation configuration: {"Condition":"LoRA Fine-Tuning"}. This record does not assert independent reproduction.

### Naive Fine-Tuning

VQA Score: 57.36. Result ID: 69e5e2d247f34ce924cc05cb.

[Reporting paper](<https://www.sota2.com/research/paper/69e5b3227d0172140ec7e0aa.md>)

Recorded evaluation configuration: {"Condition":"Naive Fine-Tuning"}. This record does not assert independent reproduction.

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