MM-Fi
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| CSI Restoration | MM-Fi | NMSE (dB)-15.14 | 22 | |
| Human Pose Estimation | MM-Fi | PCK@3066.16 | 15 | |
| Human Pose Estimation | MM-Fi | MPJPE82.73 | 12 | |
| Action Classification | MM-Fi LiDAR modality | Accuracy66.54 | 9 | |
| Action Classification | MM-Fi mmWave modality | Accuracy62.98 | 9 | |
| Action Classification | MM-Fi RGB modality | Accuracy94.03 | 9 | |
| Action Caption | MM-Fi CrossEnv 11 | Score V25.7 | 5 | |
| Human Action QA | MM-Fi CrossEnv 11 | V Score79.5 | 5 | |
| Action Caption | MM-Fi CrossSub 11 | Score V30.6 | 5 | |
| Human Action QA | MM-Fi CrossSub 11 | V98 | 5 | |
| Action Caption | MM-Fi 11 (Random) | V Score30.8 | 5 | |
| Human Action QA | MM-Fi 11 (Random) | V Score99.8 | 5 | |
| Point Cloud Generation | MM-Fi | EMD (x100)16.1 | 3 | |
| Human Pose Estimation | MM-Fi Subject 3 (Hard) 1.0 (test) | PCK@2080.82 | 3 | |
| Human Pose Estimation | MM-Fi Average 5-Fold 1.0 (test) | PCK@2086.89 | 1 | |
| Human Pose Estimation | MM-Fi Subject 5 1.0 (test) | PCK@2091.93 | 1 | |
| Human Pose Estimation | MM-Fi Subject 4 1.0 (test) | PCK@2090.41 | 1 | |
| Human Pose Estimation | MM-Fi Subject 2 1.0 (test) | PCK@2089.34 | 1 | |
| Human Pose Estimation | MM-Fi Subject 1 1.0 (test) | PCK@2081.97 | 1 |
Showing 19 of 19 rows