Few Shot Image Classification On Cub 200 2011 1
Métriques
Top-1 Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Top-1 Accuracy |
|---|---|
| zero-shot-learning-via-semantic-similarity | 30.4% |
| synthesized-classifiers-for-zero-shot | 54.7% |
| evaluation-of-output-embeddings-for-fine | 50.1% |
| label-embedding-for-attribute-based | 18.0% |
| learning-deep-representations-of-fine-grained | 56.8% |