Cosine similarity for image retrieval can be computed inside Elasticsearch by storing L2-normalized deep features at index time, removing the need for re-ranking.
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A Fast Content-Based Image Retrieval Method Using Deep Visual Features
Cosine similarity for image retrieval can be computed inside Elasticsearch by storing L2-normalized deep features at index time, removing the need for re-ranking.