Few-shot image classification on tieredImageNet standard (test)
87.93Average AccuracyLaplacianShot
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| LaplacianShotNetwork=DenseNet, Shot=5-shot2020.06 | 87.93 | — | — | |
| LaplacianShotNetwork=WRN, Shot=5-shot2020.06 | 87.56 | — | — | |
| BD-CSPNNetwork=WRN, Shot=5-shot2020.06 | 86.92 | — | — | |
| LaplacianShotNetwork=MobileNet, Shot=5-shot2020.06 | 86.75 | — | — | |
| LaplacianShotNetwork=ResNet-18, Shot=5-shot2020.06 | 86.39 | — | — | |
| SimpleShotNetwork=DenseNet, Shot=5-shot2020.06 | 86.33 | — | — | |
| SimpleShotNetwork=WRN, Shot=5-shot2020.06 | 85.76 | — | — | |
| Transductive tuningNetwork=WRN, Shot=5-shot2020.06 | 85.5 | — | — | |
| CC+rotNetwork=WRN, Shot=5-shot2020.06 | 84.98 | — | — | |
| CAN+TNetwork=ResNet-12, Shot=5-shot2020.06 | 84.93 | — | — | |
| SimpleShotNetwork=MobileNet, Shot=5-shot2020.06 | 84.91 | — | — | |
| SimpleShotNetwork=ResNet-18, Shot=5-shot2020.06 | 84.56 | — | — | |
| FEATNetwork=WRN, Shot=5-shot2020.06 | 84.38 | — | — | |
| noHub-SFeature Extractor=ResNet-18, Shot=1-shot, Classifier=SIAMESE2023.03 | 83.09 | — | — | |
| noHubFeature Extractor=ResNet-18, Shot=1-shot, Classifier=SIAMESE2023.03 | 82.94 | — | — | |
| noHub-SFeature Extractor=WideRes28-10, Shot=1-shot, Classifier=SIAMESE2023.03 | 82.85 | — | — | |
| noHubFeature Extractor=WideRes28-10, Shot=1-shot, Classifier=SIAMESE2023.03 | 82.8 | — | — | |
| MetaoptNetNetwork=ResNet-18, Shot=5-shot2020.06 | 81.56 | — | — | |
| LEONetwork=WRN, Shot=5-shot2020.06 | 81.44 | — | — | |
| LaplacianShotNetwork=DenseNet, Shot=1-shot2020.06 | 80.3 | — | — | |
| LaplacianShotNetwork=WRN, Shot=1-shot2020.06 | 80.18 | — | — | |
| LaplacianShotNetwork=MobileNet, Shot=1-shot2020.06 | 79.13 | — | — | |
| LaplacianShotNetwork=ResNet-18, Shot=1-shot2020.06 | 78.98 | — | — | |
| BD-CSPNNetwork=WRN, Shot=1-shot2020.06 | 78.74 | — | — | |
| Transductive tuningNetwork=WRN, Shot=1-shot2020.06 | 73.34 | — | — | |
| CAN+TNetwork=ResNet-12, Shot=1-shot2020.06 | 73.21 | — | — | |
| SimpleShotNetwork=DenseNet, Shot=1-shot2020.06 | 71.2 | — | — | |
| SimpleShotNetwork=WRN, Shot=1-shot2020.06 | 70.9 | — | — | |
| CC+rotNetwork=WRN, Shot=1-shot2020.06 | 70.53 | — | — | |
| FEATNetwork=WRN, Shot=1-shot2020.06 | 70.41 | — | — | |
| SimpleShotNetwork=ResNet-18, Shot=1-shot2020.06 | 69.68 | — | — | |
| SimpleShotNetwork=MobileNet, Shot=1-shot2020.06 | 69.5 | — | — | |
| LEONetwork=WRN, Shot=1-shot2020.06 | 66.33 | — | — | |
| MetaoptNetNetwork=ResNet-18, Shot=1-shot2020.06 | 65.99 | — | — | |
| EfficientFSLBackbone=ViT-S, Params=1.25M, Pre-training=ImageNet1K2026.01 | — | 89.72 | 95.41 | |
| EfficientFSLBackbone=ViT-B, Params=2.48M, Pre-training=ImageNet1K2026.01 | — | 87.63 | 93.13 | |
| EfficientFSLBackbone=ViT-B, Params=2.48M, Pre-training=ImageNet21K2026.01 | — | 93.27 | 96.78 | |
| FewTUREBackbone=ViT-S, Params=21.7M2026.01 | — | 72.96 | 86.43 | |
| FewVSBackbone=ViT-S, Params=21.7M2026.01 | — | 87.87 | 92.27 | |
| Full Fine-TuningBackbone=ViT-S, Params=21.7M2026.01 | — | 77.87 | 89.13 | |
| Full Fine-TuningBackbone=ViT-B, Params=85.8M2026.01 | — | 80.17 | 91.15 | |
| KTPPBackbone=Visformer-T, Params=11.1M2026.01 | — | 80.8 | 90.01 | |
| MetaF.Backbone=ViT-S, Params=24.5M2026.01 | — | 88.38 | 93.37 | |
| SCAM-NetBackbone=ViT-S, Params=21.7M2026.01 | — | 78.89 | 88.67 | |
| SemFewBackbone=Swin-T, Params=88.0M2026.01 | — | 82.37 | 89.89 | |
| SPBackbone=Visformer-T, Params=10.3M2026.01 | — | 78.03 | 88.55 |