Classification on WESAD 5-shot
78.4AccuracyOur-Single
Evaluation Results
| Method | Links | |
|---|---|---|
| Our-SingleBackbone=ResNet18, Pre-training=miniImageNet2025.06 | 78.4 | |
| Our-MultiBackbone=Multi-ResNet18, Pre-training=Five image datasets2025.06 | 77.8 | |
| MetaSenseRole=Oracle, Backbone=Conv52025.06 | 64 | |
| DAPN2025.06 | 61.2 | |
| MAML2025.06 | 57.9 | |
| ProtoNet2025.06 | 49.3 | |
| SemiCMT2025.06 | 40 | |
| MDDA2025.06 | 39.3 | |
| GPT2Model=GPT2-small2025.06 | 35 | |
| MCW2025.06 | 32.7 |