Image Classification on OrganSMNIST
92.65AccuracyDUCS
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DUCSSelection Ratio=90%, Backbone=ResNet-182026.03 | 92.65 | — | |
| DUCSSelection Ratio=70%, Backbone=ResNet-182026.03 | 92.18 | — | |
| EVASelection Ratio=70%, Backbone=ResNet-182026.03 | 91.94 | — | |
| EVASelection Ratio=90%, Backbone=ResNet-182026.03 | 91.89 | — | |
| DUCSSelection Ratio=50%, Backbone=ResNet-182026.03 | 91.82 | — | |
| Full datasetSelection Ratio=100%, Backbone=ResNet-182026.03 | 91.76 | — | |
| Full datasetSelection Ratio (β)=100%, Backbone=ResNet-182026.03 | 91.76 | — | |
| ForgettingSelection Ratio=90%, Backbone=ResNet-182026.03 | 91.58 | — | |
| AUMSelection Ratio=90%, Backbone=ResNet-182026.03 | 91.58 | — | |
| EL2NSelection Ratio=90%, Backbone=ResNet-182026.03 | 91.53 | — | |
| ForgettingSelection Ratio=70%, Backbone=ResNet-182026.03 | 91.46 | — | |
| EntropySelection Ratio=90%, Backbone=ResNet-182026.03 | 91.36 | — | |
| EntropySelection Ratio=70%, Backbone=ResNet-182026.03 | 91.31 | — | |
| EVASelection Ratio=50%, Backbone=ResNet-182026.03 | 91.21 | — | |
| ForgettingSelection Ratio=50%, Backbone=ResNet-182026.03 | 91.18 | — | |
| RandomSelection Ratio=90%, Backbone=ResNet-182026.03 | 91.16 | — | |
| AUMSelection Ratio=70%, Backbone=ResNet-182026.03 | 90.97 | — | |
| EL2NSelection Ratio=70%, Backbone=ResNet-182026.03 | 90.43 | — | |
| EntropySelection Ratio=50%, Backbone=ResNet-182026.03 | 90.41 | — | |
| RandomSelection Ratio=70%, Backbone=ResNet-182026.03 | 90.23 | — | |
| EL2NSelection Ratio=50%, Backbone=ResNet-182026.03 | 89.94 | — | |
| DUCSSelection Ratio (β)=30%, Backbone=ResNet-182026.03 | 89.9 | — | |
| AUMSelection Ratio=50%, Backbone=ResNet-182026.03 | 89.81 | — | |
| RandomSelection Ratio=50%, Backbone=ResNet-182026.03 | 89.63 | — | |
| DUCSSelection Ratio (β)=20%, Backbone=ResNet-182026.03 | 89.45 | — | |
| EVASelection Ratio (β)=30%, Backbone=ResNet-182026.03 | 88.77 | — | |
| RandomSelection Ratio (β)=30%, Backbone=ResNet-182026.03 | 87.64 | — | |
| DUCSSelection Ratio (β)=10%, Backbone=ResNet-182026.03 | 86.71 | — | |
| CCSSelection Ratio=90%, Backbone=ResNet-182026.03 | 86.38 | — | |
| EVASelection Ratio (β)=20%, Backbone=ResNet-182026.03 | 86.38 | — | |
| EntropySelection Ratio (β)=30%, Backbone=ResNet-182026.03 | 86.2 | — | |
| RandomSelection Ratio (β)=20%, Backbone=ResNet-182026.03 | 85.77 | — | |
| CCSSelection Ratio=70%, Backbone=ResNet-182026.03 | 85.69 | — | |
| CCSSelection Ratio=50%, Backbone=ResNet-182026.03 | 85.53 | — | |
| CCSSelection Ratio (β)=30%, Backbone=ResNet-182026.03 | 84.94 | — | |
| DUCSSelection Ratio (β)=5%, Backbone=ResNet-182026.03 | 84.47 | — | |
| CCSSelection Ratio (β)=20%, Backbone=ResNet-182026.03 | 83.64 | — | |
| MedMamba-BResolution=224x2242026.03 | 83.4 | 98.4 | |
| EVASelection Ratio (β)=10%, Backbone=ResNet-182026.03 | 83.11 | — | |
| MO-MAE2026.05 | 83.1 | 98.3 | |
| ModerateSelection Ratio=90%, Backbone=ResNet-182026.03 | 81.7 | — | |
| AutoKeras2026.05 | 81.3 | 97.4 | |
| ForgettingSelection Ratio (β)=30%, Backbone=ResNet-182026.03 | 81.28 | — | |
| HamClsResolution=224x2242026.03 | 80.96 | 98.02 | |
| RandomSelection Ratio (β)=10%, Backbone=ResNet-182026.03 | 80.95 | — | |
| GIF-SDBackbone=ResNet-50, Expansion Factor=5x2022.11 | 80.7 | — | |
| GIF-SDBackbone=ResNet-50, Expansion Ratio=5x2022.11 | 80.7 | — | |
| GIF-MAEBackbone=ResNet-50, Expansion Factor=5x2022.11 | 80.6 | — | |
| GIF-MAEBackbone=ResNet-50, Expansion Ratio=5x2022.11 | 80.6 | — | |
| ModerateSelection Ratio=70%, Backbone=ResNet-182026.03 | 80.6 | — | |
| MedVIT-L2026.05 | 80.6 | 97.3 | |
| GIF-DALLEBackbone=ResNet-50, Expansion Factor=5x2022.11 | 80.5 | — | |
| GIF-DALLEBackbone=ResNet-50, Expansion Ratio=5x2022.11 | 80.5 | — | |
| MedViT-SResolution=224x2242026.03 | 80.5 | 98.7 | |
| MedVIT-S2026.05 | 80.5 | 98.7 | |
| RandAugmentBackbone=ResNet-50, Expansion Ratio=5x2022.11 | 79.6 | — | |
| DALL-E2Backbone=ResNet-50, Expansion Factor=5x2022.11 | 79.3 | — | |
| DALL-E2Backbone=ResNet-50, Expansion Ratio=5x2022.11 | 79.3 | — | |
| SDBackbone=ResNet-50, Expansion Factor=5x2022.11 | 78.9 | — | |
| GridMaskBackbone=ResNet-50, Expansion Ratio=5x2022.11 | 78.9 | — | |
| SDBackbone=ResNet-50, Expansion Ratio=5x2022.11 | 78.9 | — | |
| MedVIT-T2026.05 | 78.9 | 97.2 | |
| EVASelection Ratio (β)=5%, Backbone=ResNet-182026.03 | 78.71 | — | |
| EntropySelection Ratio (β)=20%, Backbone=ResNet-182026.03 | 78.69 | — | |
| MAEBackbone=ResNet-50, Expansion Factor=5x2022.11 | 78.6 | — | |
| MAEBackbone=ResNet-50, Expansion Ratio=5x2022.11 | 78.6 | — | |
| AMIMV-SSLBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.04 | 78.57 | — | |
| ResNet-502026.05 | 78.5 | 97.5 | |
| CCSSelection Ratio (β)=10%, Backbone=ResNet-182026.03 | 78.46 | — | |
| CutoutBackbone=ResNet-50, Expansion Ratio=5x2022.11 | 78.3 | — | |
| MoCoV3Backbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.04 | 77.92 | — | |
| ResNet-182026.05 | 77.8 | 97.4 | |
| Distillation of CLIPBackbone=ResNet-502022.11 | 77.4 | — | |
| ReSSLBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.04 | 77.2 | — | |
| DUCSSelection Ratio (β)=2%, Backbone=ResNet-182026.03 | 77.17 | — | |
| SimCLRBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.04 | 76.78 | — | |
| NNCLRBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.04 | 76.54 | — | |
| Barlow TwinsBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.04 | 76.54 | — | |
| OriginalBackbone=ResNet-50, Expansion Factor=1x2022.11 | 76.3 | — | |
| OriginalBackbone=ResNet-50, Expansion Ratio=1x2022.11 | 76.3 | — | |
| BYOLBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.04 | 76.24 | — | |
| TDDSSelection Ratio=90%, Backbone=ResNet-182026.03 | 76.02 | — | |
| ModerateSelection Ratio=50%, Backbone=ResNet-182026.03 | 75.64 | — | |
| TDDSSelection Ratio=70%, Backbone=ResNet-182026.03 | 75.51 | — | |
| TDDSSelection Ratio=50%, Backbone=ResNet-182026.03 | 75.07 | — | |
| Google AutoML2026.05 | 74.9 | 96.4 | |
| TDDSSelection Ratio (β)=30%, Backbone=ResNet-182026.03 | 74.27 | — | |
| VICRegBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.04 | 73.86 | — | |
| RandomSelection Ratio (β)=5%, Backbone=ResNet-182026.03 | 73.1 | — | |
| ModerateSelection Ratio (β)=30%, Backbone=ResNet-182026.03 | 73.05 | — | |
| DUCSSelection Ratio (β)=1%, Backbone=ResNet-182026.03 | 72.45 | — | |
| CCSSelection Ratio (β)=5%, Backbone=ResNet-182026.03 | 71.73 | — | |
| DINOBackbone=ResNet-50, Initialization=Random, Training Strategy=Self-supervised2026.04 | 71.01 | — | |
| TDDSSelection Ratio (β)=20%, Backbone=ResNet-182026.03 | 68.6 | — | |
| ModerateSelection Ratio (β)=20%, Backbone=ResNet-182026.03 | 67.9 | — | |
| Auto-sklearn2026.05 | 67.2 | 94.5 | |
| AUMSelection Ratio (β)=30%, Backbone=ResNet-182026.03 | 65.93 | — | |
| ForgettingSelection Ratio (β)=20%, Backbone=ResNet-182026.03 | 64.43 | — | |
| TDDSSelection Ratio (β)=10%, Backbone=ResNet-182026.03 | 62.9 | — | |
| EVASelection Ratio (β)=2%, Backbone=ResNet-182026.03 | 61.23 | — |