Image Retrieval On Oxf105K
Metriken
MAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | MAP |
|---|---|
| particular-object-retrieval-with-integral-max | 61.6% |
| deep-image-retrieval-learning-global | 87.8% |
| large-scale-image-retrieval-with-attentive | 88.5% |
| particular-object-retrieval-with-integral-max | 73.2% |
| cnn-image-retrieval-learns-from-bow | 77.9% |
| iterative-manifold-embedding-layer-learned-by | 31.3% |
| iterative-manifold-embedding-layer-learned-by | 87.2% |
| large-scale-image-retrieval-with-attentive | 82.6% |
| efficient-image-retrieval-via-decoupling | 95.2% |