Few Shot Image Classification On Cub 200 2011 1
Metriken
Top-1 Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
Modellname | 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% |