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Image Similarity Search

2 papers with code · Computer Vision

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Link and code: Fast indexing with graphs and compact regression codes

CVPR 2018 facebookresearch/faiss

Similarity search approaches based on graph walks have recently attained outstanding speed-accuracy trade-offs, taking aside the memory requirements. In this paper, we revisit these approaches by considering, additionally, the memory constraint required to index billions of images on a single server.


Billion-scale similarity search with GPUs

28 Feb 2017facebookresearch/faiss

Similarity search finds application in specialized database systems handling complex data such as images or videos, which are typically represented by high-dimensional features and require specific indexing structures. We propose a design for k-selection that operates at up to 55% of theoretical peak performance, enabling a nearest neighbor implementation that is 8.5x faster than prior GPU state of the art.