A new deep multi-codebook quantization method, UNQ, sets state-of-the-art recall on Deep1M/10M/1B and BigANN benchmarks at 8 and 16 bytes per vector.
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Unsupervised Neural Quantization for Compressed-Domain Similarity Search
A new deep multi-codebook quantization method, UNQ, sets state-of-the-art recall on Deep1M/10M/1B and BigANN benchmarks at 8 and 16 bytes per vector.