hash 图像检索方法汇总

本文参考来自：http://yongyuan.name/blog/codes-of-hash-for-image-retrieval.html

哈希方法

主要贴公布代码的：
AGH: Hashing with Graphs, Paper and Code
BPBC: Learning Binary Codes for High-Dimensional Data Using Bilinear Projections, Paper and Code
BRE: Learning to Hash with Binary Reconstructive Embeddings Paper and Code
DBQ: Double-bit quantization for hashing Paper and Code
E2LSH: Local Sensitive Hash, Project Page
HDML: Hamming Distance Metric Learning, Paper and Code
IMH: Inter-Media Hashing for Large-scale Retrieval from Heterogenous Data Sources, Project
Page and Code
ISOH: Isotropic Hashing, Paper and Code
ITQ: Iterative Quantization: A Procrustean Approach to Learning Binary Codes Paper and Code 已下线
KLSH: Kernelized Locality-Sensitive Hashing for Scalable Image Search, Project
Page, Paper and Code
KMH: K-means Hashing: an Affinity-Preserving Quantization Method for Learning Binary Compact Codes, Paper andCode
KSH: Supervised Hashing with Kernels, Paper and Code
MDSH: Multidimensional Spectral Hashing, Paper and Code
MH: Manhattan hashing for large-scale image retrieval, Paper and Code
MLH: Minimal Loss Hashing for Compact Binary Codes, Paper, Code and Slide
OPQ: Optimized Product Quantization for Approximate Nearest Neighbor Search, Paper and Code
SH: Spectral Hashing, Paper and Code
IHM: Inductive Hashing on Manifolds (2013 CVPR) ProjectPage
BSPH: Semi-supervised Nonlinear Hashing Using Bootstrap Sequential Projection Learning (2012 TKDE),ProjectPage
FastHash: Fast Supervised Hashing with Decision Trees for High-Dimensional Data (2014 CVPR) Code
Spherical Hashing: Spherical Hashing (2012 CVPR)
PDH: Predictable Dual-View Hashing, Paper (ICML2013)

另外推荐两个整理的：Learning to Hash, Introduction
to Hashing.

常用数据库

LabelMe
min-loss-hashing
图像检索：常用图像库整理

关注的人

注：下面不同的哈希方法的代码可以在他们的主页上找到

Grauman, Image
search and large-scale retrieval系列Paper

Norouzi

Hamming Distance Metric Learning

Fast Search in Hamming Space with Multi-Index Hashing

Minimal Loss Hashing for Compact Binary Codes, code

Fergus

Spectral Hashing

Multidimensional Spectral Hashing

Chhshen & Guosheng Lin

A general two-step approach to learning-based hashing (CVPR 2013), code, 阅读笔记

Learning hash functions using column generation (ICML 2013), code

Fast Supervised Hashing with Decision Trees (CVPR 2014), Paper and code

Yunchao

Iterative Quantization (CVPR 2011), Project page

Angular Quantization-based Binary Codes for Fast Similarity Search (NIPS 2012), Project
page

Learning Binary Codes for High-Dimensional Data Using Bilinear Projections (CVPR 2013), Project
page

kahe

K-means Hashing (CVPR 2013), code

Optimized Product Quantization (CVPR 2013), Project
page

Jun Wang

Wei Liu, 代表方法AGH

Xianglong LIU, 刘老师是2012年开始做哈希，发表过一系列论文，是国内做哈希比较早的学者，在他的主页上有一些他发表的哈希文章的代码。

他人讲解papers的一些好博文

Locality
Sensitive Hashing(LSH)之随机投影法
Semi-Supervised Hashing
Spherical Hashing

非哈希方法

Liang Zheng
Packing and Padding: Coupled Multi-Index for Accurate Image Retrieval
Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval
Lp-norm IDF for Large Scale Image Search
Visual Phraselet: Refining Spatial Constraints for Large Scale Image Search

感谢这些公布代码的大神，本小硕向你们致以崇高的敬意，如果各位看官发觉还有没收录进来的，恳请留言以便补充完整。