5-way 1-shot Image Classification on miniImageNet (meta-test)
62.64AccuracyMetaOptNet
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MetaOptNetBackbone=ResNet-122021.10 | 62.64 | — | |
| DSNBackbone=ResNet-122021.10 | 62.64 | — | |
| ProtoNet MTM SPSA-TrackBackbone=ResNet-12, M=22021.10 | 61.94 | — | |
| ProtoNet MTM SPSA-TrackBackbone=ResNet-122021.10 | 61.33 | — | |
| vFSLBackbone=ResNet-122021.10 | 61.23 | — | |
| MTLBackbone=ResNet-122021.10 | 61.2 | — | |
| ProtoNet MTM SPSABackbone=ResNet-122021.10 | 60.24 | — | |
| Wang et al.Backbone=ResNet-122021.10 | 59.84 | — | |
| CAMLBackbone=ResNet-122021.10 | 59.23 | — | |
| Shot-FreeBackbone=ResNet-122021.10 | 59.04 | — | |
| TADAMBackbone=ResNet-122021.10 | 58.5 | — | |
| AdaResNetBackbone=ResNet-122021.10 | 56.88 | — | |
| ProtoNet (reproduced)Backbone=ResNet-122021.10 | 56.52 | — | |
| Bauer et al.Backbone=ResNet-342021.10 | 56.3 | — | |
| SNAILBackbone=ResNet-152021.10 | 55.71 | — | |
| Gidaris et al.Backbone=ResNet-152021.10 | 55.45 | — | |
| RAP-ProtoNetBackbone=ResNet-102021.10 | 53.64 | — | |
| Matching NetworksBackbone=ResNet-182021.10 | 52.91 | — | |
| Relation NetworksBackbone=ResNet-182021.10 | 52.48 | — | |
| Chen et al.Backbone=ResNet-182021.10 | 51.87 | — | |
| PACMAMLmeta-training data size (mi)=80, setting=ANIL, backbone=4 convolutional layers2021.05 | 50.1 | 0.9 | |
| MAMLBackbone=ResNet-182021.10 | 49.61 | — | |
| PACMAMLmeta-training data size (mi)=20, setting=ANIL, backbone=4 convolutional layers2021.05 | 49.1 | 0.9 | |
| PACMAMLmeta-training data size (mi)=40, setting=ANIL, backbone=4 convolutional layers2021.05 | 48.9 | 0.9 | |
| MAMLmeta-training data size (mi)=80, setting=ANIL, backbone=4 convolutional layers2021.05 | 48.1 | 0.9 | |
| MAMLmeta-training data size (mi)=20, setting=ANIL, backbone=4 convolutional layers2021.05 | 48 | 0.9 | |
| PACMAMLmeta-training data size (mi)=10, setting=ANIL, backbone=4 convolutional layers2021.05 | 47.8 | 0.9 | |
| MAMLmeta-training data size (mi)=40, setting=ANIL, backbone=4 convolutional layers2021.05 | 47.8 | 0.9 | |
| MAMLmeta-training data size (mi)=10, setting=ANIL, backbone=4 convolutional layers2021.05 | 47.3 | 0.9 | |
| FOMAMLmeta-training data size (mi)=40, setting=ANIL, backbone=4 convolutional layers2021.05 | 46.2 | 1 | |
| FOMAMLmeta-training data size (mi)=80, setting=ANIL, backbone=4 convolutional layers2021.05 | 45.7 | 0.9 | |
| PACOHmeta-training data size (mi)=80, setting=ANIL, backbone=4 convolutional layers2021.05 | 44.6 | 0.9 | |
| FOMAMLmeta-training data size (mi)=20, setting=ANIL, backbone=4 convolutional layers2021.05 | 44.3 | 0.9 | |
| BMAMLmeta-training data size (mi)=80, setting=ANIL, backbone=4 convolutional layers2021.05 | 44.2 | 0.9 | |
| FOMAMLmeta-training data size (mi)=10, setting=ANIL, backbone=4 convolutional layers2021.05 | 41.8 | 0.9 | |
| PACOHmeta-training data size (mi)=40, setting=ANIL, backbone=4 convolutional layers2021.05 | 41.6 | 0.9 | |
| BMAMLmeta-training data size (mi)=40, setting=ANIL, backbone=4 convolutional layers2021.05 | 41.5 | 0.9 | |
| PACOHmeta-training data size (mi)=20, setting=ANIL, backbone=4 convolutional layers2021.05 | 37 | 0.9 | |
| BMAMLmeta-training data size (mi)=20, setting=ANIL, backbone=4 convolutional layers2021.05 | 34.3 | 0.9 | |
| PACOHmeta-training data size (mi)=10, setting=ANIL, backbone=4 convolutional layers2021.05 | 31.2 | 0.8 | |
| BMAMLmeta-training data size (mi)=10, setting=ANIL, backbone=4 convolutional layers2021.05 | 29.9 | 0.9 |