Image Retrieval On Rparis Medium
Metriken
mAP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | mAP |
|---|---|
| dark-side-augmentation-generating-diverse-1 | 76.6 |
| learning-and-aggregating-deep-local | 81.6 |
| learning-super-features-for-image-retrieval-1 | 85.3 |
| cross-dimensional-weighting-for-aggregated | 70.4 |
| particular-object-retrieval-with-integral-max | 78.9 |
| revisiting-oxford-and-paris-large-scale-image | 59.0 |
| learning-token-based-representation-for-image | 89.34 |
| large-scale-image-retrieval-with-attentive | 76.9 |
| revisiting-oxford-and-paris-large-scale-image | 61.2 |
| large-scale-image-retrieval-with-attentive | 84.0 |
| emerging-properties-in-self-supervised-vision | 75.3 |
| revisiting-oxford-and-paris-large-scale-image | 70.2 |
| instance-level-image-retrieval-using | 88.5 |
| revisiting-oxford-and-paris-large-scale-image | 59.2 |
| fine-tuning-cnn-image-retrieval-with-no-human | 77.2 |
| google-landmarks-dataset-v2-a-large-scale | 84.9 |
| revisiting-oxford-and-paris-large-scale-image | 68.9 |
| revisiting-oxford-and-paris-large-scale-image | 43.6 |
| aggregating-deep-convolutional-features-for | 69.2 |
| particular-object-retrieval-with-integral-max | 66.2 |
| revisiting-oxford-and-paris-large-scale-image | 61.4 |
| hypergraph-propagation-and-community | 92.6 |
| 2408-03282 | 94.9 |