Few Shot Image Classification On Imagenet Fs
评估指标
Top-5 Accuracy (%)
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Top-5 Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| LSD (ResNet-50) | 57.7 | Low-shot learning with large-scale diffusion | |
| SGM + Graph (ResNet-50) | 61.1 | Model-Agnostic Graph Regularization for Few-Shot Learning | - |
| IDeMe-Net (ResNet-50) | 60.1 | Image Deformation Meta-Networks for One-Shot Learning | |
| SGM (ResNet-50) | 52.9 | Low-shot Visual Recognition by Shrinking and Hallucinating Features | |
| KGTN-ens (ResNet-50, h+g, max) | 62.73 | KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles | |
| KTCH (ResNet-50) | 58.1 | Few-shot Relational Reasoning via Connection Subgraph Pretraining | |
| KGTN (ResNet-50) | 62.1 | Knowledge Graph Transfer Network for Few-Shot Recognition |
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