Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"

Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing methods to date, together with different popular backbone networks and public datasets.

This project is intended to solve the task of massive image retrieval.

Official implementation of IEEE Access 2023 paper: "RelaHash: Deep Hashing with Relative Position"

Source code for paper "Deep Supervised Discrete Hashing" on NeurIPS-2017

Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"

[CVPR 2021] Official repository for "Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing"

The code for the paper "Contrastive Quantization with Code Memory for Unsupervised Image Retrieval" (AAAI'22, Oral).

Official codes of the paper: Deep Center-Based Dual-Constrained Hashing for Discriminative Face Image Retrieval (DCDH)

Source code for paper "Semantic Structure-based Unsupervised Deep Hashing" on IJCAI-2018

Semantic Image Similarity Search in Elasticsearch

Content Based Image Retrieval with Binary Hash Code (Python, C++)

Source code for paper "HashNet: Deep Learning to Hash by Continuation" on ICCV-2017

Source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)

Source code for paper "Feature Learning based Deep Supervised Hashing with Pairwise Labels" on IJCAI-2016

Transductive Zero-Shot Hashing For Multi-Label Image Retrieval

[BMVC 2023 (Oral)] Official pytorch implementation of the paper: "Unsupervised Hashing with Similarity Distribution Calibration"