Image Classification on ISIC
84.93AccuracyInsert LN
Evaluation Results
| Method | Links | |
|---|---|---|
| Insert LNBackbone=ResNet50, Training Scenario=FT2025.04 | 84.93 | |
| T = 1Backbone=ResNet50, Training Scenario=FT2025.04 | 84.72 | |
| Insert LNBackbone=SwinT, Training Scenario=FT2025.04 | 84.51 | |
| Ours (T*)Backbone=ResNet50, Training Scenario=FT2025.04 | 84.39 | |
| Ours (T*csgcn)Backbone=ResNet50, Training Scenario=FT2025.04 | 84.38 | |
| T = 1Backbone=SwinT, Training Scenario=FT2025.04 | 84.36 | |
| Ours (T*cn)Backbone=ResNet50, Training Scenario=FT2025.04 | 83.88 | |
| Ours (T*csg)Backbone=SwinT, Training Scenario=FT2025.04 | 83.64 | |
| T = sqrt(M)Backbone=SwinT, Training Scenario=FT2025.04 | 83.46 | |
| T = sqrt(M)Backbone=ResNet50, Training Scenario=FT2025.04 | 82.75 | |
| Ours (T*csgcn)Backbone=SwinT, Training Scenario=FT2025.04 | 81.32 | |
| Ours (T*)Backbone=SwinT, Training Scenario=FT2025.04 | 80.88 | |
| Ours (T*cn)Backbone=SwinT, Training Scenario=FT2025.04 | 80.83 | |
| Ours (T*csg)Backbone=ResNet50, Training Scenario=FT2025.04 | 80.58 | |
| T = 1Backbone=ResNet50, Training Scenario=init2025.04 | 76.16 | |
| Insert LNBackbone=ResNet50, Training Scenario=init2025.04 | 75.17 | |
| T = sqrt(M)Backbone=ResNet50, Training Scenario=init2025.04 | 74.07 | |
| Ours (T*csg)Backbone=ResNet50, Training Scenario=init2025.04 | 72.16 | |
| Ours (T*cn)Backbone=ResNet50, Training Scenario=init2025.04 | 70.03 | |
| Ours (T*csgcn)Backbone=ResNet50, Training Scenario=init2025.04 | 69.32 | |
| Ours (T*)Backbone=ResNet50, Training Scenario=init2025.04 | 66.57 | |
| CBBudget (%)=1002024.11 | 65.7 | |
| BADGEBudget (%)=1002024.11 | 65.59 | |
| PCBBudget (%)=1002024.11 | 64.54 | |
| CBBudget (%)=752024.11 | 64.41 | |
| CBBudget (%)=502024.11 | 64.01 | |
| BADGEBudget (%)=752024.11 | 63.89 | |
| CBBudget (%)=252024.11 | 63.38 | |
| EntropyBudget (%)=1002024.11 | 62.25 | |
| BADGEBudget (%)=502024.11 | 62.1 | |
| PCBBudget (%)=752024.11 | 62.1 | |
| EntropyBudget (%)=752024.11 | 61.65 | |
| EntropyBudget (%)=502024.11 | 61.35 | |
| CoreSetBudget (%)=1002024.11 | 60.91 | |
| CoreSetBudget (%)=752024.11 | 60.81 | |
| CoreSetBudget (%)=502024.11 | 59.21 | |
| BADGEBudget (%)=252024.11 | 58.37 | |
| EntropyBudget (%)=252024.11 | 57.87 | |
| PCBBudget (%)=502024.11 | 57.52 | |
| CoreSetBudget (%)=252024.11 | 53.69 | |
| PCBBudget (%)=252024.11 | 51.49 | |
| SupervisedBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 43.34 | |
| BYOL + PsCoBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 42.9 | |
| MoCo v2 + PsCoBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 41.64 | |
| MoCo v2Backbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 38.26 | |
| BYOLBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 37.27 | |
| GEOMMeta-Album Size=Extended, Training Dataset=Meta-Album2025.07 | 31.7 | |
| GEOMMeta-Album Size=Mini, Training Dataset=Meta-Album2025.07 | 31.38 | |
| ChimeraLoRAEvaluation Protocol=Few-shot (Augmented), Shot Count=4 Real + 500 Synthetic2026.02 | 29.2 | |
| GEOM-INTraining Dataset=ImageNet-1k2025.07 | 27.9 | |
| GEOMMeta-Album Size=Micro, Training Dataset=Meta-Album2025.07 | 25.69 | |
| LoFTEvaluation Protocol=Few-shot (Augmented), Shot Count=4 Real + 500 Synthetic2026.02 | 25.6 | |
| IsSynthEvaluation Protocol=Few-shot (Augmented), Shot Count=4 Real + 500 Synthetic2026.02 | 23.8 | |
| CLIPEvaluation Protocol=Zero-shot, Shot Count=02026.02 | 21.1 | |
| DataDreamEvaluation Protocol=Few-shot (Augmented), Shot Count=4 Real + 500 Synthetic2026.02 | 20.7 | |
| CLIPEvaluation Protocol=Few-shot (Real-only), Shot Count=42026.02 | 19.6 |