Few-shot classification on tiered-meta-iNat fine-grained
76.87AccuracyMCL
Evaluation Results
| Method | Links | |
|---|---|---|
| MCLBackbone=ResNet-12, Shot=5-shot2021.06 | 76.87 | |
| FRNBackbone=ResNet-12, Shot=5-shot2021.06 | 76.62 | |
| MCL-KatzBackbone=ResNet-12, Shot=5-shot2021.06 | 76.05 | |
| DSNBackbone=ResNet-12, Shot=5-shot2021.06 | 72.79 | |
| ProtoNet + MCLBackbone=ResNet-12, Shot=5-shot2021.06 | 72.5 | |
| DN4Backbone=ResNet-12, Shot=5-shot2021.06 | 72.29 | |
| ProtoNetBackbone=ResNet-12, Shot=5-shot2021.06 | 71.06 | |
| CTXBackbone=ResNet-12, Shot=5-shot2021.06 | 69.88 | |
| DeepEMDBackbone=ResNet-12, Shot=5-shot2021.06 | 66.27 | |
| MCLBackbone=Conv-4, Shot=5-shot2021.06 | 64.61 | |
| MCL-KatzBackbone=Conv-4, Shot=5-shot2021.06 | 64.24 | |
| DN4Backbone=Conv-4, Shot=5-shot2021.06 | 64.17 | |
| FRNBackbone=Conv-4, Shot=5-shot2021.06 | 63.36 | |
| CTXBackbone=Conv-4, Shot=5-shot2021.06 | 60.84 | |
| DSNBackbone=Conv-4, Shot=5-shot2021.06 | 60.11 | |
| ProtoNet + MCLBackbone=Conv-4, Shot=5-shot2021.06 | 59.16 | |
| ProtoNetBackbone=Conv-4, Shot=5-shot2021.06 | 54.85 | |
| MCLBackbone=ResNet-12, Shot=1-shot2021.06 | 51.35 | |
| ProtoNet + MCLBackbone=ResNet-12, Shot=1-shot2021.06 | 51.22 | |
| MCL-KatzBackbone=ResNet-12, Shot=1-shot2021.06 | 49.68 | |
| DN4Backbone=ResNet-12, Shot=1-shot2021.06 | 48.99 | |
| FRNBackbone=ResNet-12, Shot=1-shot2021.06 | 48.86 | |
| DeepEMDBackbone=Conv-4, Shot=5-shot2021.06 | 48.55 | |
| DeepEMDBackbone=ResNet-12, Shot=1-shot2021.06 | 48.14 | |
| ProtoNetBackbone=ResNet-12, Shot=1-shot2021.06 | 47.61 | |
| DSNBackbone=ResNet-12, Shot=1-shot2021.06 | 46.61 | |
| MCLBackbone=Conv-4, Shot=1-shot2021.06 | 44.08 | |
| MCL-KatzBackbone=Conv-4, Shot=1-shot2021.06 | 44 | |
| FRNBackbone=Conv-4, Shot=1-shot2021.06 | 43.91 | |
| DN4Backbone=Conv-4, Shot=1-shot2021.06 | 43.82 | |
| CTXBackbone=ResNet-12, Shot=1-shot2021.06 | 42.91 | |
| ProtoNet + MCLBackbone=Conv-4, Shot=1-shot2021.06 | 39.09 | |
| CTXBackbone=Conv-4, Shot=1-shot2021.06 | 36.83 | |
| DSNBackbone=Conv-4, Shot=1-shot2021.06 | 36.82 | |
| DeepEMDBackbone=Conv-4, Shot=1-shot2021.06 | 36.05 | |
| ProtoNetBackbone=Conv-4, Shot=1-shot2021.06 | 35.47 |