Few-shot classification on EuroSat (test)
87.65AccuracyPsCo
Evaluation Results
| Method | Links | |
|---|---|---|
| PsCoWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 87.65 | |
| MoCo v2Way=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 86.16 | |
| SwAVWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 85.62 | |
| SimCLRWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 85.05 | |
| PsCoWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 81.08 | |
| Meta-SVEBMWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 80.21 | |
| Meta-GMVAEWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 80.11 | |
| MoCo v2Way=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 79.94 | |
| SwAVWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 79.31 | |
| SimCLRWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 79.14 | |
| MAMLWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 76.7 | |
| Meta-GMVAEWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 73.83 | |
| MAMLWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 71.48 | |
| ProtoNetsWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 70.88 | |
| Meta-SVEBMWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 70.83 | |
| ProtoNetsWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 64.91 |