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GIST1M

Canonical
1papers using it
2023first seen

The GIST1M dataset is a benchmark used to evaluate the performance of graph-based approximate nearest neighbor search methods, containing a million-scale collection of visual feature vectors.

Papers using GIST1M (1)

GIST1M β€” datasets β€” learning-to-hash