EPFL
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Light Field Super-Resolution | EPFL | PSNR30.39 | 42 | |
| Light field image denoising | EPFL (test) | PSNR40.2 | 18 | |
| Light Field Super-Resolution | EPFL 7x7 SAIs (test) | PSNR30.4 | 13 | |
| Axial Super-Resolution | EPFL | 3D-PSNR26.35 | 12 | |
| Membrane Segmentation | EPFL (test) | F1 Score86.43 | 12 | |
| Isotropic Reconstruction | EPFL Dataset | PSNR29.422 | 12 | |
| Light Field Image Super-Resolution | EPFL 4x scale (test) | PSNR30.06 | 11 | |
| Light Field Image Super-Resolution | EPFL 2x scale (test) | PSNR36.18 | 11 | |
| 3D Reconstruction | EPFL Fountain-P11 | Full Chamfer Distance6.47 | 10 | |
| Integer Linear Programming Solving | EPFL | Objective Value (%)98.43 | 7 | |
| Keystep recognition | EPFL | Top-1 Accuracy19.24 | 6 | |
| Temporal Grounding | EPFL D views | Recall@131 | 5 | |
| 3D Reconstruction | EPFL (Herzjesu-P7) | Full Chamfer Distance7.95 | 5 | |
| Membrane Segmentation | EPFL r=8 | ARE0.213 | 4 | |
| Axial Super-Resolution | EPFL r=8 | 3D-PSNR25.56 | 4 | |
| Mitochondria Segmentation | EPFL x10 (test) | IoU0.6927 | 4 | |
| Mitochondria Segmentation | EPFL x8 (test) | IoU69.75 | 4 | |
| Mitochondria Segmentation | EPFL x4 (test) | mIoU74.64 | 4 | |
| Multi-Camera Multi-Object Tracking | EPFL Basketball sequence | MOTA66.3 | 4 | |
| Multi-Camera Multi-Object Tracking | EPFL (Passageway sequence) | MOTA (%)70.4 | 4 | |
| Isotropic xy-slice reconstruction | EPFL | PSNR26.59 | 3 | |
| NIR Image Colorization | EPFL (test) | PSNR20.14 | 3 |
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