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

[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.

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

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

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

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

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

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

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

The code for the paper "Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval" (WWW'22, Oral).

Transductive Zero-Shot Hashing For Multi-Label Image Retrieval

Source code for paper "Deep Hashing Network for Efficient Similarity Retrieval" on AAAI-2016

[IJCAI 2020] This is an official code implementation for Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes.

pytorch implementation of Deep Supervised Hashing