Few-shot Image Classification on CD-FSL 5-way 1-shot (test)
23.98ChestX AccuracyIM-DCL
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| IM-DCLbackbone=RN10, Source=-, FT=Y2026.03 | 23.98 | 38.13 | 77.14 | 84.37 | 55.91 | |
| AttnTempbackbone=ViT/DINO, Source=Y, FT=Y2026.03 | 23.63 | 38.05 | 75.09 | 84.78 | 55.39 | |
| CD-CLSbackbone=ViT/DINO, Source=Y, FT=Y2026.03 | 23.39 | 35.56 | 74.97 | 84.53 | 54.62 | |
| FLoRbackbone=ViT/DINO, Source=Y, FT=Y2026.03 | 23.26 | 35.49 | 73.09 | 83.55 | 53.85 | |
| PE-Core-LoRA + OURSbackbone=ViT/PE-Core, Source=-, FT=Y2026.03 | 23.04 | 42.2 | 86.16 | 92.61 | 61 | |
| wave-SANbackbone=RN10, Source=Y, FT=-2026.03 | 22.93 | 33.35 | 69.64 | 70.8 | 49.18 | |
| AFAbackbone=RN10, Source=Y, FT=-2026.03 | 22.92 | 33.21 | 63.12 | 67.61 | 46.72 | |
| DARAbackbone=RN10, Source=Y, FT=Y2026.03 | 22.92 | 36.42 | 67.42 | 80.74 | 51.88 | |
| StyleAdv-FTbackbone=ViT/DINO, Source=Y, FT=Y2026.03 | 22.92 | 33.99 | 74.93 | 84.11 | 53.99 | |
| StepSTPbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 22.84 | 32.97 | 70.01 | 84.84 | 52.68 | |
| CLIP-LoRA-Vision + OURSbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 22.7 | 38.2 | 85.01 | 87 | 58.23 | |
| StyleAdvbackbone=RN10, Source=Y, FT=-2026.03 | 22.64 | 33.96 | 70.94 | 74.13 | 50.42 | |
| StyleAdv-FTbackbone=RN10, Source=Y, FT=Y2026.03 | 22.64 | 35.76 | 72.92 | 80.69 | 53 | |
| FN+VDBbackbone=RN18, Source=-, FT=Y2026.03 | 22.64 | 32.96 | 69.67 | 79.68 | 51.24 | |
| Tip-Adapterbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 22.24 | 32.68 | 75.44 | 77.15 | 51.87 | |
| ATA-FTbackbone=RN10, Source=Y, FT=Y2026.03 | 22.15 | 34.94 | 68.62 | 75.41 | 50.28 | |
| LDCbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 22.12 | 33.72 | 74.19 | 83.77 | 53.45 | |
| ATAbackbone=RN10, Source=Y, FT=-2026.03 | 22.1 | 33.21 | 61.35 | 67.47 | 46.03 | |
| PE-Core-LoRAbackbone=ViT/PE-Core, Source=-, FT=Y2026.03 | 22.02 | 40.89 | 84.49 | 91.75 | 59.78 | |
| SigLIP2-LoRA + OURSbackbone=ViT/SigLip2, Source=-, FT=Y2026.03 | 22 | 35.34 | 76.1 | 89.72 | 55.79 | |
| CLIP-LoRA-Visionbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 21.86 | 36.4 | 81.72 | 84.22 | 55.97 | |
| PMFbackbone=ViT/DINO, Source=Y, FT=Y2026.03 | 21.73 | 30.36 | 70.74 | 80.79 | 50.91 | |
| LP++backbone=ViT/CLIP, Source=-, FT=Y2026.03 | 21.72 | 33.63 | 73.05 | 81.84 | 52.56 | |
| SEALParameters Updated=Linear, Backbone=ResNet-50, Pre-training Dataset=Tiny-ImageNet, Episodes=6002023.04 | 21.67 | 27.93 | 57.75 | 63.64 | — | |
| CoOpbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 21.65 | 32.86 | 72.08 | 80.5 | 51.77 | |
| Maple + OURSbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 21.64 | 34.06 | 82.25 | 82.66 | 55.15 | |
| AMU-Tuningbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 21.56 | 32.29 | 72.24 | 80.2 | 51.57 | |
| SigLIP2-LoRAbackbone=ViT/SigLip2, Source=-, FT=Y2026.03 | 21.44 | 33.47 | 74.16 | 87.5 | 54.14 | |
| SEALParameters Updated=Linear+Affines, Backbone=ResNet-50, Pre-training Dataset=Tiny-ImageNet, Episodes=6002023.04 | 21.3 | 29.14 | 55.68 | 67.87 | — | |
| PromptSRCbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 21.16 | 31.86 | 73.44 | 76.15 | 50.65 | |
| NormalParameters Updated=Linear+Affines, Backbone=ResNet-50, Pre-training Dataset=Tiny-ImageNet, Episodes=6002023.04 | 21.14 | 26.71 | 47.36 | 64.75 | — | |
| Maplebackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 21.09 | 33.38 | 76.05 | 81.78 | 53.07 | |
| NormalParameters Updated=Linear, Backbone=ResNet-50, Pre-training Dataset=Tiny-ImageNet, Episodes=6002023.04 | 21.01 | 25.7 | 53.41 | 50.31 | — | |
| Normal (long)Parameters Updated=Linear+Affines, Backbone=ResNet-50, Pre-training Dataset=Tiny-ImageNet, Episodes=6002023.04 | 20.9 | 26.41 | 45.51 | 63.73 | — | |
| PDAbackbone=ViT/CLIP, Source=-, FT=Y2026.03 | 20.66 | 31.45 | 69.68 | 79.2 | 50.25 | |
| Normal (long)Parameters Updated=Linear, Backbone=ResNet-50, Pre-training Dataset=Tiny-ImageNet, Episodes=6002023.04 | 20.4 | 22.59 | 36.6 | 27.5 | — | |
| LLFParameters Updated=Linear, Backbone=ResNet-50, Pre-training Dataset=Tiny-ImageNet, Episodes=6002023.04 | 20.38 | 24.61 | 36.58 | 26.28 | — | |
| LLFParameters Updated=Linear+Affines, Backbone=ResNet-50, Pre-training Dataset=Tiny-ImageNet, Episodes=6002023.04 | 20.24 | 23.28 | 34.02 | 35.12 | — |