# Multi-modal Manipulation Detection and Grounding on DGM4 BBC domain (test)

Source: [Multi-modal Manipulation Detection and Grounding on DGM4 BBC domain (test)](<https://www.sota2.com/research/sota/multi-modal-manipulation-detection-and-grounding-on-dgm4-bbc-domain-test>)

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

Data updated: 2026-03-04T16:44:53.926Z

Evaluation of Multi-modal Manipulation Detection and Grounding performance on the test split of the DGM4 BBC domain dataset, reporting ACC, mAP, Ptok, and mIoU.

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 | Multi-modal Manipulation Detection and Grounding |
| Dataset (including any stated split) | DGM4 BBC domain (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 8 of 8 |
| 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/multi-modal-manipulation-detection-and-grounding-on-dgm4-bbc-domain-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [mAP](<https://www.sota2.com/research/sota/multi-modal-manipulation-detection-and-grounding-on-dgm4-bbc-domain-test.md?metric=mAP>): Higher is better; unit: PERCENT.

- [Ptok](<https://www.sota2.com/research/sota/multi-modal-manipulation-detection-and-grounding-on-dgm4-bbc-domain-test.md?metric=Ptok>): Higher is better; unit: PERCENT.

- [mIoU](<https://www.sota2.com/research/sota/multi-modal-manipulation-detection-and-grounding-on-dgm4-bbc-domain-test.md?metric=mIoU>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| AMD | 72.37 | Not recorded | 69a66c552d603e6de3e3d0dd |
| REFORM | 70.7 | Not recorded | 69a66c552d603e6de3e3d0dd |
| FKA-Owl | 70.26 | Not recorded | 69a66c552d603e6de3e3d0dd |
| LLaVa-v1.6-7B | 66.14 | Not recorded | 69a66c552d603e6de3e3d0dd |
| Qwen2.5-3B | 62.2 | Not recorded | 69a66c552d603e6de3e3d0dd |
| HAMMER | 54.97 | Not recorded | 69a66c552d603e6de3e3d0dd |
| HAMMER++ | 54.24 | Not recorded | 69a66c552d603e6de3e3d0dd |
| ViLT | 44.14 | Not recorded | 69a66c552d603e6de3e3d0dd |

### AMD

Accuracy: 72.37. Result ID: 69a861786dbb7075b94ff647.

[Reporting paper](<https://www.sota2.com/research/paper/69a66c552d603e6de3e3d0dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa78b61e209131cea79f8e.md>)

Recorded evaluation configuration: {"Category":"Deepfake Detectors"}. This record does not assert independent reproduction.

### REFORM

Accuracy: 70.7. Result ID: 69a861786dbb7075b94ff648.

[Reporting paper](<https://www.sota2.com/research/paper/69a66c552d603e6de3e3d0dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69a66c552d603e6de3e3d0dd.md>)

Recorded evaluation configuration: {"Category":"Deepfake Detectors"}. This record does not assert independent reproduction.

### FKA-Owl

Accuracy: 70.26. Result ID: 69a861786dbb7075b94ff646.

[Reporting paper](<https://www.sota2.com/research/paper/69a66c552d603e6de3e3d0dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa745e1e209131cea61338.md>)

Recorded evaluation configuration: {"Category":"Deepfake Detectors"}. This record does not assert independent reproduction.

### LLaVa-v1.6-7B

Accuracy: 66.14. Result ID: 69a861786dbb7075b94ff642.

[Reporting paper](<https://www.sota2.com/research/paper/69a66c552d603e6de3e3d0dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa717d1e209131cea51970.md>)

[Implementation](<https://llava-vl.github.io/>)

Recorded evaluation configuration: {"Category":"Fine-tuned LVLMs"}. This record does not assert independent reproduction.

### Qwen2.5-3B

Accuracy: 62.2. Result ID: 69a861786dbb7075b94ff641.

[Reporting paper](<https://www.sota2.com/research/paper/69a66c552d603e6de3e3d0dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa773a1e209131cea71d3c.md>)

Recorded evaluation configuration: {"Category":"Fine-tuned LVLMs"}. This record does not assert independent reproduction.

### HAMMER

Accuracy: 54.97. Result ID: 69a861786dbb7075b94ff644.

[Reporting paper](<https://www.sota2.com/research/paper/69a66c552d603e6de3e3d0dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6f091e209131cea43773.md>)

Recorded evaluation configuration: {"Category":"Deepfake Detectors"}. This record does not assert independent reproduction.

### HAMMER++

Accuracy: 54.24. Result ID: 69a861786dbb7075b94ff645.

[Reporting paper](<https://www.sota2.com/research/paper/69a66c552d603e6de3e3d0dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70ab1e209131cea4c614.md>)

Recorded evaluation configuration: {"Category":"Deepfake Detectors"}. This record does not assert independent reproduction.

### ViLT

Accuracy: 44.14. Result ID: 69a861786dbb7075b94ff643.

[Reporting paper](<https://www.sota2.com/research/paper/69a66c552d603e6de3e3d0dd.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a1e1e209131cea260db.md>)

[Implementation](<https://github.com/dandelin/vilt>)

Recorded evaluation configuration: {"Category":"Deepfake Detectors"}. This record does not assert independent reproduction.

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