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in the paper
"In the dataset, there are the “full” version, referred to as LF (after removal of overlapping classes with Oxf5k/Par6k, by [11]), containing 140,372 images from 586 landmarks, and the “clean” version (LC) obtained by a SIFT-based matching procedure [11], with 35,382 images of 586 landmarks. We use LF to train our attention model, and LC is employed to fine-tune the network for image retrieval."
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