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Few Shot Image Classification On Cub 200 2011 1
Metriken
Top-1 Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| Word CNN-RNN (DS-SJE Embedding) | 56.8% | Learning Deep Representations of Fine-grained Visual Descriptions | |
| Synthesised Classifier | 54.7% | Synthesized Classifiers for Zero-Shot Learning | |
| SJE | 50.1% | Evaluation of Output Embeddings for Fine-Grained Image Classification | |
| SSE-ReLU [?] | 30.4% | Zero-Shot Learning via Semantic Similarity Embedding | - |
| ALE | 18.0% | Label-Embedding for Attribute-Based Classification | - |
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