Video Forgery Detection on Magic Videos (test)
85.81Wan 2.1Qwen2.5-ViT
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Qwen2.5-ViTTraining Data=15Model-140K2026.04 | 85.81 | 83.39 | 84.65 | 83.95 | 84.88 | 76.51 | 83.2 | |
| X-CLIP-L/14Training Data=15Model-140K2026.04 | 80 | 86.13 | 79.53 | 78.6 | 80 | 79.53 | 80.63 | |
| CLIP ViT-L/14Training Data=15Model-140K2026.04 | 78.14 | 77.74 | 77.21 | 77.91 | 77.21 | 75.58 | 77.3 | |
| Moon-ViTTraining Data=15Model-140K2026.04 | 76.74 | 79.62 | 75.81 | 76.74 | 75.81 | 74.88 | 76.6 | |
| X-CLIP-B/16Training Data=15Model-140K2026.04 | 76.28 | 72.43 | 75.12 | 75.12 | 75.35 | 72.33 | 74.44 | |
| EffortTraining Data=SD 1.42026.04 | 73.26 | 66.95 | 67.44 | 86.05 | 83.26 | 62.79 | 73.29 | |
| F3NetTraining Data=15Model-140K2026.04 | 71.86 | 69.86 | 66.98 | 74.88 | 73.26 | 66.98 | 70.64 | |
| NPRTraining Data=15Model-140K2026.04 | 71.63 | 66.27 | 72.33 | 74.88 | 73.26 | 72.09 | 71.74 | |
| TimeSformerTraining Data=15Model-140K2026.04 | 68.84 | 72.09 | 66.28 | 69.77 | 67.91 | 67.21 | 68.68 | |
| TALLTraining Data=15Model-140K2026.04 | 64.65 | 67.81 | 61.86 | 64.42 | 63.49 | 63.49 | 64.29 | |
| WaveRepTraining Data=Pyramid Flow2026.04 | 58.84 | 53.6 | 59.53 | 59.53 | 57.21 | 59.53 | 58.04 | |
| B-FreeTraining Data=SD 2.12026.04 | 53.72 | 68.32 | 55.81 | 31.63 | 36.05 | 48.6 | 49.02 | |
| FatFormerTraining Data=ProGAN2026.04 | 50 | 50.17 | 50 | 50 | 50 | 50.23 | 50.07 | |
| RINETraining Data=ldm2026.04 | 45.35 | 33.56 | 51.4 | 51.63 | 44.65 | 70.23 | 49.47 |