AM
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Facial Forgery Detection | AM IAFaces (test) | Accuracy (ACC)69.31 | 30 | |
| Facial Forgery Detection | AM LatTrans (test) | Accuracy59.98 | 15 | |
| Facial Forgery Detection | AM Diffae (test) | Accuracy67.04 | 15 | |
| Recommendation | AM Electronics | R@105.5 | 15 | |
| Node Classification | AM (test) | Accuracy90.6 | 10 | |
| Object Detection | AM 2 (test) | F1 Score28 | 6 | |
| Node Classification | AM static (test) | Accuracy0.914 | 5 | |
| Image Matting | AM-2k COMP-COCO | SAD30.05 | 4 | |
| Entity Classification | AM (test) | Accuracy89.29 | 4 | |
| Inference Performance Profiling | AM | Wall Clock Time (s)213.3 | 3 | |
| Autoregressive Super-resolution | AM 64 -> 256 (test) | RL22.03 | 3 | |
| Autoregressive Super-resolution | AM 32 -> 256 (test) | RL21.02 | 3 |
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