Few-shot Classification on Meta-Dataset (In-Domain)
75.72ImageNet AccuracySMAT
Evaluation Results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| SMATFine-tuning protocol=LoRA, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 75.72 | 90.71 | 90.99 | 92.57 | 88.28 | 78.83 | 73.31 | 97.25 | 85.88 | |
| SMATFine-tuning protocol=Full, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 75.24 | 90.01 | 90.83 | 92.57 | 88.41 | 79.17 | 73.31 | 97.22 | 85.84 | |
| SoftMergeFine-tuning protocol=Full, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 74.71 | 90.6 | 92.01 | 91.95 | 86.84 | 79.9 | 72.4 | 97.01 | 85.56 | |
| SMATFine-tuning protocol=None, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 74.69 | 89.78 | 89.84 | 92.57 | 86.29 | 79.17 | 73.31 | 97.22 | 85.36 | |
| PMFFine-tuning protocol=Full, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 74.59 | 88.33 | 91.79 | 91.02 | 86.61 | 79.23 | 74.2 | 94.12 | 84.99 | |
| SoftMergeFine-tuning protocol=None, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 74.33 | 88.8 | 91.24 | 91.54 | 80.98 | 78.98 | 72.4 | 96.89 | 84.4 | |
| Pre-trainedFine-tuning protocol=LoRA, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 74.22 | 80.8 | 80.8 | 85.8 | 86.8 | 72.7 | 59.8 | 94.8 | 79.47 | |
| PMFFine-tuning protocol=None, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 73.54 | 88.33 | 91.79 | 91.02 | 81.64 | 79.23 | 74.2 | 94.12 | 84.23 | |
| Pre-trainedFine-tuning protocol=Full, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 73.54 | 75.4 | 78.7 | 85.4 | 86.9 | 73.6 | 54.7 | 94.2 | 77.81 | |
| PMFFine-tuning protocol=LoRA, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 73.54 | 89.75 | 92.78 | 91.17 | 86.73 | 79.23 | 75.44 | 96.05 | 85.59 | |
| Pre-trainedFine-tuning protocol=None, Backbone=DINO-ViT-Small, Classifier=ProtoNet2024.03 | 73.48 | 62.17 | 54.33 | 85.37 | 83.67 | 60.59 | 56.26 | 94.45 | 71.29 |