Video Forgery Detection on MintVid OOD
96.1Fact ScoreVIDEOVERITAS
Evaluation results
| Method | Links | |
|---|---|---|
| VIDEOVERITASCategory=MLLM-based Video Forgery Detectors, Backbone=Qwen3-VL-8B2026.02 | 96.1 | |
| Qwen3-VL-235B-A22BCategory=Generic MLLMs2026.02 | 93.6 | |
| Qwen3-VL-8BCategory=Generic MLLMs2026.02 | 91.9 | |
| InternVL3.5-8BCategory=Generic MLLMs2026.02 | 91.7 | |
| Gemini-3-Pro-PreviewCategory=Generic MLLMs2026.02 | 91.4 | |
| MiMo-VL-7BCategory=Generic MLLMs2026.02 | 89.9 | |
| BusterX++Category=MLLM-based Video Forgery Detectors2026.02 | 88.8 | |
| Gemini-2.5-ProCategory=Generic MLLMs2026.02 | 88.3 | |
| GLM-4.5VCategory=Generic MLLMs2026.02 | 88.2 | |
| Qwen2.5-VL-7BCategory=Generic MLLMs2026.02 | 87.1 | |
| Keye-VL-1.5-8BCategory=Generic MLLMs2026.02 | 80.4 | |
| DeMambaCategory=Small Vision Models2026.02 | 73.3 | |
| ReStraVCategory=Small Vision Models2026.02 | 65 | |
| NSG-VDCategory=Small Vision Models2026.02 | 52.8 | |
| Skyra-RLCategory=MLLM-based Video Forgery Detectors2026.02 | 51.9 | |
| D3Category=Small Vision Models, Metric Type=Average Precision (AP)2026.02 | 32.4 |