Classification on HHAR 3-shot
63.2AccuracyMetaSense
Evaluation results
| Method | Links | |
|---|---|---|
| MetaSenseRole=Oracle, Backbone=Conv52025.06 | 63.2 | |
| Our-MultiBackbone=Multi-ResNet18, Pre-training=Five image datasets2025.06 | 59.3 | |
| Our-SingleBackbone=ResNet18, Pre-training=miniImageNet2025.06 | 59 | |
| ProtoNet2025.06 | 50.6 | |
| DAPN2025.06 | 48.7 | |
| GPT2Model=GPT2-small2025.06 | 41 | |
| MAML2025.06 | 36.6 | |
| SemiCMT2025.06 | 33.3 | |
| MCW2025.06 | 27.6 | |
| MDDA2025.06 | 13.2 |