Image Retrieval On Roxford Medium

mAP

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

比較表

モデル名	mAP
google-landmarks-dataset-v2-a-large-scale	74.2
revisiting-oxford-and-paris-large-scale-image	59.8
aggregating-deep-convolutional-features-for	39.8
learning-and-aggregating-deep-local	79.4
cross-dimensional-weighting-for-aggregated	42.4
learning-super-features-for-image-retrieval-1	81.8
large-scale-image-retrieval-with-attentive	67.8
emerging-properties-in-self-supervised-vision	51.5
large-scale-image-retrieval-with-attentive	73.4
end-to-end-learning-of-deep-visual	60.9
revisiting-oxford-and-paris-large-scale-image	71.3
instance-level-image-retrieval-using	80.4
revisiting-oxford-and-paris-large-scale-image	60.4
revisiting-oxford-and-paris-large-scale-image	59.4
learning-token-based-representation-for-image	82.28
2408-03282	90.7
dark-side-augmentation-generating-diverse-1	66.3
revisiting-oxford-and-paris-large-scale-image	60.6
revisiting-oxford-and-paris-large-scale-image	33.9
fine-tuning-cnn-image-retrieval-with-no-human	64.7
hypergraph-propagation-and-community	88.4
revisiting-oxford-and-paris-large-scale-image	66.3
particular-object-retrieval-with-integral-max	41.7