Image Classification on OCTDL (val)
98.39AUCProposed Model
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Proposed Model2025.05 | 98.39 | 98.54 | 0.0432 | 98.54 | 98.54 | 100 | |
| DeiT-xLoRA=false2025.05 | 98.28 | 84.47 | 0.4198 | 89.36 | 81.55 | 100 | |
| ViT2025.05 | 97.98 | 86.41 | 0.4602 | 91.3 | 81.55 | 100 | |
| DeiTMultiscale Path Embedding=false2025.05 | 97.94 | 84.47 | 0.488 | 88.65 | 79.61 | 99.03 | |
| Swin Transformer2025.05 | 97.77 | 83.5 | 0.492 | 88.17 | 79.61 | 98.06 | |
| EfficientFormer2025.05 | 96.99 | 84.47 | 0.5638 | 87.17 | 79.13 | 98.54 | |
| DINOv22025.05 | 96.68 | 84.87 | 0.628 | 86.57 | 80.5 | 93 | |
| SegFormer2025.05 | 89.3 | 63.59 | 1.1179 | 68.71 | 54.37 | 95.63 | |
| ViTMAE2025.05 | 87.94 | 59.71 | 1.2256 | 73.68 | 40.78 | 78.64 | |
| ConvNeXt V22025.05 | 87.23 | 66.02 | 1.1947 | 75 | 50.97 | 78.16 | |
| RegNet2025.05 | 86.98 | 61.17 | 1.2073 | 65.24 | 51.94 | 97.09 | |
| CvT2025.05 | 85.74 | 59.71 | 1.2959 | 68.8 | 41.75 | 93.69 |