Unsupervised cross-modal hashing

• Matrix Factorization
• Graph Theory
• Other Shallow
• Quantization
• Naive Network
• GAN
• Graph Model
• Knowledge Distillation

Supported Methods

The currently supported algorithms include:

Matrix Factorization

2017

• RFDH：Robust and Flexible Discrete Hashing for Cross-Modal Similarity Search(TCSVT) [PDF] [Code]

2015

• STMH:Semantic Topic Multimodal Hashing for Cross-Media Retrieval(IJCAI)[PDF]

2014

• LSSH:Latent Semantic Sparse Hashing for Cross-Modal Similarity Search(SIGIR)[PDF]

• CMFH:Collective Matrix Factorization Hashing for Multimodal Data(CVPR)[PDF]

Graph Theory

2018

• HMR:Hetero-Manifold Regularisation for Cross-Modal Hashing(TPAMI)[PDF]

2017

• FSH:Cross-Modality Binary Code Learning via Fusion Similarity Hashing(CVPR)[PDF][Code]

2014

• SM2H:Sparse Multi-Modal Hashing(TMM)[PDF]

2013

• IMH:Inter-Media Hashing for Large-scale Retrieval from Heterogeneous Data Sources(SIGMOD)[PDF]

• LCMH:Linear Cross-Modal Hashing for Efficient Multimedia Search(MM)[PDF]

2011

• CVH:Learning Hash Functions for Cross-View Similarity Search(IJCAI)[PDF]

Other Shallow

2019

• CRE:Collective Reconstructive Embeddings for Cross-Modal Hashing(TIP)[PDF]

2018

• HMR:Hetero-Manifold Regularisation for Cross-Modal Hashing(TPAMI)[PDF]

2015

• FS-LTE:Full-Space Local Topology Extraction for Cross-Modal Retrieval(TIP)[PDF]

2014

• IMVH:Iterative Multi-View Hashing for Cross Media Indexing(MM)[PDF]

2013

• PDH:Predictable Dual-View Hashing(ICML)[PDF]

Quantization

2016

• CCQ:Composite Correlation Quantization for Efficient Multimodal Retrieval(SIGIR)[PDF]

• CMCQ:Collaborative Quantization for Cross-Modal Similarity Search(CVPR)[PDF]

2015

• ACQ:Alternating Co-Quantization for Cross-modal Hashing(ICCV)[PDF]

Naive Network

2019

• UDFCH:Unsupervised Deep Fusion Cross-modal Hashing(ICMI)[PDF]

2018

• UDCMH:Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval(IJCAI)[PDF]

2017

• DBRC:Deep Binary Reconstruction for Cross-modal Hashing(MM)[PDF]

2015

• DMHOR:Learning Compact Hash Codes for Multimodal Representations Using Orthogonal Deep Structure(TMM)[PDF]

GAN

2020

• MGAH:Multi-Pathway Generative Adversarial Hashing for Unsupervised Cross-Modal Retrieval(TMM)[PDF]

2019

• CYC-DGH:Cycle-Consistent Deep Generative Hashing for Cross-Modal Retrieval(TIP)[PDF]

• UCH:Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval(AAAI)[PDF]

2018

• UGACH:Unsupervised Generative Adversarial Cross-modal Hashing(AAAI)[PDF][Code]

Graph Model

2022

• ASSPH:Adaptive Structural Similarity Preserving for Unsupervised Cross Modal Hashing(MM)[PDF]

2021

• AGCH:Aggregation-based Graph Convolutional Hashing for Unsupervised Cross-modal Retrieval(TMM)[PDF]

• DGCPN:Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing(AAAI)[PDF][Code]

2020

• DCSH:Unsupervised Deep Cross-modality Spectral Hashing(TIP)[PDF]

• SRCH:Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing(IJCAI)[PDF]

• JDSH:Joint-modal Distribution-based Similarity Hashing for Large-scale Unsupervised Deep Cross-modal Retrieval(SIGIR)[PDF][Code]

• DSAH:Deep Semantic-Alignment Hashing for Unsupervised Cross-Modal Retrieval(ICMR)[PDF][Code]

2019

• DJSRH:Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval(ICCV)[PDF][Code]

Knowledge Distillation

2022

• DAEH:Deep Adaptively-Enhanced Hashing With Discriminative Similarity Guidance for Unsupervised Cross-Modal Retrieval(TCSVT)[PDF]

2021

• KDCMH:Unsupervised Deep Cross-Modal Hashing by Knowledge Distillation for Large-scale Cross-modal Retrieval(ICMR)[PDF]

• JOG:Joint-teaching: Learning to Refine Knowledge for Resource-constrained Unsupervised Cross-modal Retrieval(MM)[PDF]

2020

• UKD:Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing(CVPR)[PDF]