Classification on WESAD 3-shot
77.9AccuracyOur-Single
Evaluation Results
| Method | Links | |
|---|---|---|
| Our-SingleBackbone=ResNet18, Pre-training=miniImageNet2025.06 | 77.9 | |
| Our-MultiBackbone=Multi-ResNet18, Pre-training=Five image datasets2025.06 | 76.4 | |
| DAPN2025.06 | 56.9 | |
| MetaSenseRole=Oracle, Backbone=Conv52025.06 | 55.1 | |
| GPT2Model=GPT2-small2025.06 | 48 | |
| ProtoNet2025.06 | 43.9 | |
| MDDA2025.06 | 40 | |
| MAML2025.06 | 39.6 | |
| SemiCMT2025.06 | 37.3 | |
| MCW2025.06 | 30.7 |