Few Shot Image Classification On Imagenet Fs 1
Metrics
Top-5 Accuracy (%)
Results
Performance results of various models on this benchmark
Model Name | Top-5 Accuracy (%) | Paper Title | Repository |
|---|---|---|---|
| LSD (ResNet-50) | 66.9 | Low-shot learning with large-scale diffusion | |
| KGTN (ResNet-50) | 70.9 | Knowledge Graph Transfer Network for Few-Shot Recognition | |
| SGM + Graph (ResNet-50) | 70.3 | Model-Agnostic Graph Regularization for Few-Shot Learning | - |
| IDeMe-Net (ResNet-50) | 69.6 | Image Deformation Meta-Networks for One-Shot Learning | |
| KGTN-ens (ResNet-50, h+g, max) | 71.48 | KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles | |
| SGM w/G (ResNet-50) | 64.9 | Low-shot Visual Recognition by Shrinking and Hallucinating Features | |
| SGM (ResNet-50) | 67.0 | Low-shot Visual Recognition by Shrinking and Hallucinating Features | |
| KTCH (ResNet-50) | 67.3 | Few-shot Relational Reasoning via Connection Subgraph Pretraining |
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