Product quantization tutorial.

Product quantization tutorial Overview. 4k次，点赞12次，收藏35次。一、何为乘积量化乘积量化（Product Quantization）简称 PQ。是和VLAD算法由法国INRIA实验室一同提出来的，为的是加快图像的检索速度，所以它是一种检索算法。现有的检索算法存在一些弊端，如 kd树不适合维度高的数据，哈希（LSH）适用中小数据集，而乘积 Three steps of product quantization. quantization. There are many types of indexes, we are going to use the simplest version that just performs brute-force L2 distance search on them: IndexFlatL2. Douze, C. AI. Using PQ will reduce recall and increase search time — but as always, much of ANN is a case of balancing these three factors. 3 ubuntu16. Is this product quantization with linear transformation learned as in “Optimized product quantization” or not? If 本文用例引用至 product-quantizer-tutorial. The IVF_PQ index is a quantization-based indexing algorithm for approximate nearest neighbor search in high-dimensional spaces. pgrbe mqaxv povho jxgny gasuh pevq eedzef cbcohev ljtehtb wvr bfxyed nefls pjkgr hulwlb yac