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Found 2 papers, 1 papers with code
Deep Fusion of Multi-attentive Local and Global Features with Higher Efficiency for Image Retrieval
Previously, methods that firstly search by global features then re-rank images using local feature matching were proposed, which has an excellent performance on many datasets.
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Components orthogonal to the global image representation are then extracted from the local information.
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