BriefGPT.xyz
Nov, 2023
基于 Householder 量化的深度哈希
Deep Hashing via Householder Quantization
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Lucas R. Schwengber, Lucas Resende, Paulo Orenstein, Roberto I. Oliveira
TL;DR
通过提出一种替代的量化策略,该论文通过在嵌入空间上进行相似性学习,并采用正交变换优化嵌入的每个坐标,然后通过符号函数将转换后的嵌入量化为二进制,从而提高了大规模图像相似性搜索的性能。
Abstract
hashing
is at the heart of large-scale
image similarity search
, and recent methods have been substantially improved through
deep learning
→