Few-shot classification on ChestX (test)
32.1AccuracyP>M>F
Evaluation Results
| Method | Links | |
|---|---|---|
| P>M>FEvaluation protocol=In-Domain [Meta-Training], K-shot=5-shot, N-way=5-way, Backbone=ViT-base2023.10 | 32.1 | |
| SimCLRWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 29.21 | |
| MoCo v2Way=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 29.19 | |
| Meta-SVEBMWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 28.91 | |
| SwAVWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 28.57 | |
| ProtoDiffway=5-way, shot=5-shot2023.06 | 28.54 | |
| PsCoWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 27.69 | |
| MetaOptEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way, Backbone frozen=true2023.10 | 27.4 | |
| HVMway=5-way, shot=5-shot2023.06 | 27.15 | |
| P>M>FEvaluation protocol=In-Domain [Meta-Training], K-shot=1-shot, N-way=5-way, Backbone=ViT-base2023.10 | 27 | |
| MetaQDAEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way2023.10 | 27 | |
| Meta-GMVAEWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 26.26 | |
| Meta-SVEBMWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 26.26 | |
| ProtoNetEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way, Backbone frozen=true2023.10 | 25.8 | |
| ProtoNetsWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 25.72 | |
| ProtoNetEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way, Backbone frozen=false2023.10 | 25.3 | |
| MoCo v2Way=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 25.24 | |
| SimCLRWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 25.14 | |
| AFAway=5-way, shot=5-shot2023.06 | 25.02 | |
| SwAVWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 24.99 | |
| PsCoWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 24.78 | |
| ATAway=5-way, shot=5-shot2023.06 | 24.32 | |
| MAMLWay=5, Shot=20, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 24.25 | |
| ProtoNetway=5-way, shot=5-shot2023.06 | 24.05 | |
| GNNway=5-way, shot=5-shot2023.06 | 23.87 | |
| Meta-GMVAEWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 23.23 | |
| ProtoNetsWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 23.15 | |
| ProtoDiffway=5-way, shot=1-shot2023.06 | 23.01 | |
| MetaOptEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way, Backbone frozen=false2023.10 | 23 | |
| MetaOptEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way, Backbone frozen=true2023.10 | 23 | |
| HVMway=5-way, shot=1-shot2023.06 | 22.94 | |
| AFAway=5-way, shot=1-shot2023.06 | 22.92 | |
| ProtoNetEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way, Backbone frozen=true2023.10 | 22.7 | |
| MAMLWay=5, Shot=5, Backbone=Conv5, Pre-trained=miniImageNet2023.03 | 22.61 | |
| MetaQDAEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way2023.10 | 22.6 | |
| ProtoNetEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way, Backbone frozen=false2023.10 | 22.4 | |
| ProtoNetway=5-way, shot=1-shot2023.06 | 22.3 | |
| CAMLEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way2023.10 | 22.2 | |
| ATAway=5-way, shot=1-shot2023.06 | 22.1 | |
| GNNway=5-way, shot=1-shot2023.06 | 21.94 | |
| CAMLEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way2023.10 | 21.5 | |
| GPICLEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way2023.10 | 20.9 | |
| MetaOptEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way, Backbone frozen=false2023.10 | 20.8 | |
| SNAILEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way2023.10 | 20.2 | |
| GPICLEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way2023.10 | 20.1 | |
| SNAILEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way2023.10 | 20 |