📊 Showing 6 results | 📏 Metric: Per-Class Accuracy (1-shot)
| Rank | Model | Paper | Per-Class Accuracy (1-shot) | Date | Code |
|---|---|---|---|---|---|
| 1 | MVCN | Better Generalized Few-Shot Learning Even Without Base Data | 69.90 | 2022-11-29 | 📦 bigdata-inha/zero-base-gfsl |
| 2 | CADA-VAE | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders | 69.60 | 2018-12-05 | 📦 edgarschnfld/CADA-VAE-PyTorch 📦 sanixa/CADA-VAE-pytorch |
| 3 | DA-VAE | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders | 68.00 | 2019-06-01 | 📦 edgarschnfld/CADA-VAE-PyTorch |
| 4 | DRAGON | From Generalized zero-shot learning to long-tail with class descriptors | 67.10 | 2020-04-05 | 📦 dvirsamuel/DRAGON |
| 5 | CA-VAE | Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders | 64.00 | 2019-06-01 | 📦 edgarschnfld/CADA-VAE-PyTorch |
| 6 | REVISE | Learning Robust Visual-Semantic Embeddings | 56.10 | 2017-03-17 | - |