Harvard
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Joint Tri-Modal Medical Image Fusion and Super-Resolution | Harvard dataset (test) | PSNR31.38 | 21 | |
| Ophthalmic disease diagnosis | Harvard-30k Glaucoma (test) | Accuracy76.5 | 17 | |
| Ophthalmic disease diagnosis | Harvard DR 30k (test) | Accuracy82.74 | 17 | |
| Ophthalmic disease diagnosis | Harvard-30k AMD (test) | Accuracy76.45 | 17 | |
| Glaucoma Grading | Harvard-30k (test) | Accuracy78.55 | 15 | |
| AMD Grading | Harvard-30k (test) | Accuracy81.42 | 15 | |
| Medical Image Fusion | Harvard | EI20.24 | 10 | |
| Medical Image Fusion | Harvard dataset Composite degradation | Q_MI0.6353 | 9 | |
| Medical Image Fusion | Harvard dataset Noise degradation | Q_MI61.71 | 9 | |
| Hyperspectral Image Fusion | Harvard (test) | PSNR44.62 | 9 | |
| Hyperspectral Image Super-Resolution | Harvard (test) | PSNR47.9943 | 8 | |
| Hyperspectral Image Fusion | Harvard Out-of-Distribution (x8) (test) | PSNR42.73 | 7 | |
| Hyperspectral Image Fusion | Harvard In-Distribution (x4) (test) | PSNR44.81 | 7 | |
| Hyperspectral Image Fusion | Harvard Out-of-Distribution (x32) (test) | PSNR37.34 | 6 | |
| Hyperspectral Image Fusion | Harvard Out-of-Distribution (x16) (test) | PSNR38.73 | 6 | |
| Hyperspectral Image Reconstruction | Harvard | PSNR38.24 | 6 | |
| Tri-modal medical image fusion and super-resolution | Harvard x8 scale (test) | MSE1,559.803 | 6 | |
| Tri-modal medical image fusion and super-resolution | Harvard x4 scale (test) | MSE1,740.448 | 6 | |
| Tri-modal medical image fusion and super-resolution | Harvard x2 scale (test) | MSE2,021.23 | 6 |
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