Classification on HHAR 10-shot
80.7AccuracyOur-Single
Evaluation Results
| Method | Links | |
|---|---|---|
| Our-SingleBackbone=ResNet18, Pre-training=miniImageNet2025.06 | 80.7 | |
| Our-MultiBackbone=Multi-ResNet18, Pre-training=Five image datasets2025.06 | 78.4 | |
| MetaSenseRole=Oracle, Backbone=Conv52025.06 | 75.2 | |
| DAPN2025.06 | 54.7 | |
| ProtoNet2025.06 | 49.8 | |
| SemiCMT2025.06 | 48.9 | |
| GPT2Model=GPT2-small2025.06 | 45 | |
| MAML2025.06 | 42.4 | |
| MCW2025.06 | 26.9 | |
| MDDA2025.06 | 18.8 |