SIFT-128-Euclidean

'SIFT-128-Euclidean' is a benchmark dataset used to evaluate the performance of approximate nearest-neighbor search algorithms, containing 128-dimensional SIFT feature vectors.

Papers using SIFT-128-Euclidean (1)

CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search2025