Image Classification on PETS (Accuracy, Complexity)
0.952AccuracyProtoS-ViT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ProtoS-ViTViT=true, no retraining of encoder=true, no training of clf head=false, backbone=ViT with DinoV2 weights2025.12 | 0.952 | 4 | |
| KMExViT=true, no retraining of encoder=true, no training of clf head=true, backbone=ViT with DinoV2 weights2025.12 | 0.94 | 1 | |
| PIP-NetViT=false, no retraining of encoder=false, no training of clf head=false2025.12 | 0.92 | 2 | |
| KCCsViT=true, no retraining of encoder=true, no training of clf head=true, backbone=ViT with DinoV2 weights2025.12 | 0.9 | 2.3 |