# Visual Question Answering on VQA loc v2.0 (val)

Source: [Visual Question Answering on VQA loc v2.0 (val)](<https://www.sota2.com/research/sota/visual-question-answering-on-vqa-loc-v2-0-val>)

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

Data updated: 2026-02-26T05:27:49.869Z

Evaluation of model performance on the validation split of the VQA loc v2.0 dataset for visual question answering.

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) | VQA loc v2.0 (val) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 7 of 7 |
| 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/visual-question-answering-on-vqa-loc-v2-0-val.md?metric=Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| Transformer+CATT | 67.33 | Not recorded | 68fa696d1e209131cea21f77 |
| MCAN | 67.2 | Not recorded | 68fa696d1e209131cea21f77 |
| Transformer | 66.29 | Not recorded | 68fa696d1e209131cea21f77 |
| DFAF | 66.21 | Not recorded | 68fa696d1e209131cea21f77 |
| BUTD+CATT | 65.12 | Not recorded | 68fa696d1e209131cea21f77 |
| MLB | 65.07 | Not recorded | 68fa696d1e209131cea21f77 |
| BUTD | 63.2 | Not recorded | 68fa696d1e209131cea21f77 |

### Transformer+CATT

Accuracy: 67.33. Result ID: 698da8e98b517eb43322efc5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa696d1e209131cea21f77.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa696d1e209131cea21f77.md>)

[Implementation](<https://github.com/yangxuntu/catt>)

Recorded evaluation configuration: {"architecture\_type":"Transformer-based"}. This record does not assert independent reproduction.

### MCAN

Accuracy: 67.2. Result ID: 698da8e98b517eb43322efc4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa696d1e209131cea21f77.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65f11e209131cea0d447.md>)

[Implementation](<https://github.com/MILVLG/mcan-vqa>)

Recorded evaluation configuration: {"architecture\_type":"Transformer-based"}. This record does not assert independent reproduction.

### Transformer

Accuracy: 66.29. Result ID: 698da8e98b517eb43322efc2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa696d1e209131cea21f77.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa703d1e209131cea49db1.md>)

[Implementation](<https://github.com/tensorflow/tensor2tensor>)

Recorded evaluation configuration: {"architecture\_type":"Transformer-based"}. This record does not assert independent reproduction.

### DFAF

Accuracy: 66.21. Result ID: 698da8e98b517eb43322efc3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa696d1e209131cea21f77.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66421e209131cea0f415.md>)

Recorded evaluation configuration: {"architecture\_type":"Transformer-based"}. This record does not assert independent reproduction.

### BUTD+CATT

Accuracy: 65.12. Result ID: 698da8e98b517eb43322efc1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa696d1e209131cea21f77.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa696d1e209131cea21f77.md>)

[Implementation](<https://github.com/yangxuntu/catt>)

Recorded evaluation configuration: {"architecture\_type":"LSTM-based"}. This record does not assert independent reproduction.

### MLB

Accuracy: 65.07. Result ID: 698da8e98b517eb43322efc0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa696d1e209131cea21f77.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63391e209131ce9fd90f.md>)

Recorded evaluation configuration: {"architecture\_type":"LSTM-based"}. This record does not assert independent reproduction.

### BUTD

Accuracy: 63.2. Result ID: 698da8e98b517eb43322efbf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa696d1e209131cea21f77.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa642b1e209131cea031b7.md>)

[Implementation](<http://www.panderson.me/up-down-attention>)

Recorded evaluation configuration: {"architecture\_type":"LSTM-based"}. This record does not assert independent reproduction.

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