# Video Question Answering on AGQA 2.0

Source: [Video Question Answering on AGQA 2.0](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0>)

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

Data updated: 2026-02-26T05:54:09.554Z

Evaluation of model performance on the AGQA 2.0 dataset for Video Question Answering, reporting accuracy across compositional question types such as Object-relation, Sequencing, and Duration comparison.

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 | Video Question Answering |
| Dataset (including any stated split) | AGQA 2.0 |
| Metric | Object-relation Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 15 of 15 |
| 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

- [Object-relation Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0.md?metric=Object-relation%20Accuracy>): Higher is better; unit: PERCENT.

- [Relation-action Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0.md?metric=Relation-action%20Accuracy>): Higher is better; unit: PERCENT.

- [Object-action Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0.md?metric=Object-action%20Accuracy>): Higher is better; unit: PERCENT.

- [Superlative Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0.md?metric=Superlative%20Accuracy>): Higher is better; unit: PERCENT.

- [Sequencing Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0.md?metric=Sequencing%20Accuracy>): Higher is better; unit: PERCENT.

- [Exists Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0.md?metric=Exists%20Accuracy>): Higher is better; unit: PERCENT.

- [Duration Comparison Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0.md?metric=Duration%20Comparison%20Accuracy>): Higher is better; unit: PERCENT.

- [Action Recognition Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0.md?metric=Action%20Recognition%20Accuracy>): Higher is better; unit: PERCENT.

- [Overall Accuracy](<https://www.sota2.com/research/sota/video-question-answering-on-agqa-2-0.md?metric=Overall%20Accuracy>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Object-relation Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| TGB-BLIP2 | 62.27 | Not recorded | 68fa75191e209131cea65c5b |
| BLIP2 | 53.72 | Not recorded | 68fa75191e209131cea65c5b |
| SINGULARITY + TGB | 52.33 | Not recorded | 68fa75191e209131cea65c5b |
| VIOLET + TGB | 51.59 | Not recorded | 68fa75191e209131cea65c5b |
| MIST-AIO | 51.43 | Not recorded | 68fa75191e209131cea65c5b |
| SeViLA | 51.15 | Not recorded | 68fa75191e209131cea65c5b |
| ALBEF + TGB | 51.05 | Not recorded | 68fa75191e209131cea65c5b |
| VIOLET | 50.89 | Not recorded | 68fa75191e209131cea65c5b |
| SINGULARITY | 50.87 | Not recorded | 68fa75191e209131cea65c5b |
| ALBEF | 50.53 | Not recorded | 68fa75191e209131cea65c5b |
| ATP | 50.15 | Not recorded | 68fa75191e209131cea65c5b |
| AIO | 48.34 | Not recorded | 68fa75191e209131cea65c5b |
| HCRN | 40.33 | Not recorded | 68fa75191e209131cea65c5b |
| PSAC | 37.84 | Not recorded | 68fa75191e209131cea65c5b |
| HME | 37.42 | Not recorded | 68fa75191e209131cea65c5b |

### TGB-BLIP2

Object-relation Accuracy: 62.27. Result ID: 69938dec3a6c31484916d13e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Implementation](<https://github.com/bigai-nlco/LSTP-Chat>)

Recorded evaluation configuration: {"Model Category":"Open-ended Video-Language Models","Augmented":"Temporal Grounding Bridge"}. This record does not assert independent reproduction.

### BLIP2

Object-relation Accuracy: 53.72. Result ID: 69938dec3a6c31484916d13d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6fb71e209131cea46fe6.md>)

[Implementation](<https://github.com/salesforce/LAVIS/tree/main/projects/blip2>)

Recorded evaluation configuration: {"Model Category":"Open-ended Video-Language Models"}. This record does not assert independent reproduction.

### SINGULARITY + TGB

Object-relation Accuracy: 52.33. Result ID: 69938dec3a6c31484916d139.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Implementation](<https://github.com/bigai-nlco/LSTP-Chat>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models","Augmented":"Temporal Grounding Bridge"}. This record does not assert independent reproduction.

### VIOLET + TGB

Object-relation Accuracy: 51.59. Result ID: 69938dec3a6c31484916d13b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Implementation](<https://github.com/bigai-nlco/LSTP-Chat>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models","Augmented":"Temporal Grounding Bridge"}. This record does not assert independent reproduction.

### MIST-AIO

Object-relation Accuracy: 51.43. Result ID: 69938dec3a6c31484916d135.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e431e209131cea3ed48.md>)

[Implementation](<https://github.com/showlab/mist>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models"}. This record does not assert independent reproduction.

### SeViLA

Object-relation Accuracy: 51.15. Result ID: 69938dec3a6c31484916d13c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa715a1e209131cea50c7b.md>)

[Implementation](<https://github.com/Yui010206/SeViLA>)

Recorded evaluation configuration: {"Model Category":"Open-ended Video-Language Models","Status":"Re-implementation result"}. This record does not assert independent reproduction.

### ALBEF + TGB

Object-relation Accuracy: 51.05. Result ID: 69938dec3a6c31484916d137.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Implementation](<https://github.com/bigai-nlco/LSTP-Chat>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models","Augmented":"Temporal Grounding Bridge"}. This record does not assert independent reproduction.

### VIOLET

Object-relation Accuracy: 50.89. Result ID: 69938dec3a6c31484916d13a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models"}. This record does not assert independent reproduction.

### SINGULARITY

Object-relation Accuracy: 50.87. Result ID: 69938dec3a6c31484916d138.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models"}. This record does not assert independent reproduction.

### ALBEF

Object-relation Accuracy: 50.53. Result ID: 69938dec3a6c31484916d136.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6aef1e209131cea2b2da.md>)

[Implementation](<https://github.com/salesforce/ALBEF>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models"}. This record does not assert independent reproduction.

### ATP

Object-relation Accuracy: 50.15. Result ID: 69938dec3a6c31484916d134.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6cba1e209131cea359da.md>)

[Implementation](<https://stanfordvl.github.io/atp-revisit-video-lang/>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models"}. This record does not assert independent reproduction.

### AIO

Object-relation Accuracy: 48.34. Result ID: 69938dec3a6c31484916d133.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6c001e209131cea31982.md>)

[Implementation](<https://github.com/showlab/all-in-one>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models"}. This record does not assert independent reproduction.

### HCRN

Object-relation Accuracy: 40.33. Result ID: 69938dec3a6c31484916d132.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa67351e209131cea14bfd.md>)

[Implementation](<https://github.com/thaolmk54/hcrn-videoqa>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models"}. This record does not assert independent reproduction.

### PSAC

Object-relation Accuracy: 37.84. Result ID: 69938dec3a6c31484916d131.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models"}. This record does not assert independent reproduction.

### HME

Object-relation Accuracy: 37.42. Result ID: 69938dec3a6c31484916d130.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75191e209131cea65c5b.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65a31e209131cea0b77c.md>)

[Implementation](<https://github.com/fanchenyou/HME-VideoQA>)

Recorded evaluation configuration: {"Model Category":"Retrieval-based Video-Language Models"}. This record does not assert independent reproduction.

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