Classification on HHAR 5-shot
74.3AccuracyOur-Multi
Evaluation results
| Method | Links | |
|---|---|---|
| Our-MultiBackbone=Multi-ResNet18, Pre-training=Five image datasets2025.06 | 74.3 | |
| Our-SingleBackbone=ResNet18, Pre-training=miniImageNet2025.06 | 71.8 | |
| MetaSenseRole=Oracle, Backbone=Conv52025.06 | 69 | |
| DAPN2025.06 | 51.2 | |
| ProtoNet2025.06 | 45.7 | |
| MAML2025.06 | 42.3 | |
| SemiCMT2025.06 | 38.9 | |
| GPT2Model=GPT2-small2025.06 | 34 | |
| MCW2025.06 | 25.4 | |
| MDDA2025.06 | 17.7 |