Supervised-Cross-Modal-Hashing-Retrieval

• Matrix Factorization
• Dictionary Learning
• Feature Mapping(Sample Constraint)(Label Constraint)
• Feature Mapping(Sample Constraint)(Separate Hamming)
• Feature Mapping(Sample Constraint)(Common Hamming)
• Feature Mapping(Relation Constraint)
• Other Shallow
• Naive Network(Distance Constraint)
• Naive Network(Similarity Constraint)
• Naive Network(Negative Log Likelihood)
• Naive Network(Triplet Constraint)
• GAN
• Graph Model
• Transformer
• Memory Network
• Quantization

Matrix Factorization

2022

• SCLCH: Joint Specifics and Consistency Hash Learning for Large-Scale Cross-Modal Retrieval [PDF]

2020

• BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing [PDF] [Code]

2019

• LCMFH: Label Consistent Matrix Factorization Hashing for Large-Scale Cross-Modal Similarity Search [PDF]

• TECH: A Two-Step Cross-Modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps [PDF]

2018

• SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval [PDF]

2017

• DCH: Learning Discriminative Binary Codes for Large-scale Cross-modal Retrieval [PDF]

2016

• SMFH: Supervised Matrix Factorization for Cross-Modality Hashing [PDF]

• SMFH: Supervised Matrix Factorization Hashing for Cross-Modal Retrieval [PDF]

Dictionary Learning

2016

• DCDH: Discriminative Coupled Dictionary Hashing for Fast Cross-Media Retrieval [PDF]

2014

• DLCMH: Dictionary Learning Based Hashing for Cross-Modal Retrieval [PDF]

Feature Mapping(Sample Constraint)(Label Constraint)

2022

• DJSAH: Discrete Joint Semantic Alignment Hashing for Cross-Modal Image-Text Search (PDF)

2020

• FUH: Fast Unmediated Hashing for Cross-Modal Retrieval (PDF)

2016

• MDBE: Multimodal Discriminative Binary Embedding for Large-Scale Cross-Modal Retrieval (PDF) [Code]

Feature Mapping(Sample Constraint)(Separate Hamming)

2017

• CSDH: Sequential Discrete Hashing for Scalable Cross-Modality Similarity Retrieval (PDF)

2016

• DASH: Frustratingly Easy Cross-Modal Hashing (PDF)

2015

• QCH: Quantized Correlation Hashing for Fast Cross-Modal Search (PDF)

Feature Mapping(Sample Constraint)(Common Hamming)

2021

• ASCSH: Asymmetric Supervised Consistent and Specific Hashing for Cross-Modal Retrieval (PDF) [Code]

2019

• SRDMH: Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval (PDF)

2018

• FDCH: Fast Discrete Cross-modal Hashing With Regressing From Semantic Labels (PDF)

2017

• SRSH: Semi-Relaxation Supervised Hashing for Cross-Modal Retrieval (PDF) [Code]

• RoPH: Cross-Modal Hashing via Rank-Order Preserving (PDF) [Code]

2016

• SRDMH: Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval (PDF)

Feature Mapping(Relation Constraint)

2017

• LSRH: Linear Subspace Ranking Hashing for Cross-Modal Retrieval (PDF)

2014

• SCM: Large-Scale Supervised Multimodal Hashing with Semantic Correlation Maximization (PDF)

• HTH: Scalable Heterogeneous Translated Hashing (PDF)

2013

• PLMH: Parametric Local Multimodal Hashing for Cross-View Similarity Search (PDF)

• RaHH: Comparing Apples to Oranges: A Scalable Solution with Heterogeneous Hashing (PDF) [Code]

2012

• CRH: Co-Regularized Hashing for Multimodal Data (PDF)

Other Shallow

2019

• DLFH: Discrete Latent Factor Model for Cross-Modal Hashing (PDF) [Code]

2018

• SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing (PDF)

2015

• SePH: Semantics-Preserving Hashing for Cross-View Retrieval (PDF)

2012

• MLBE: A Probabilistic Model for Multimodal Hash Function Learning (PDF)

2010

• CMSSH: Data Fusion through Cross-modality Metric Learning using Similarity-Sensitive Hashing (PDF)

Naive Network(Distance Constraint)

2019

• MCITR: Cross-modal Image-Text Retrieval with Multitask Learning (PDF)

2016

• CAH: Correlation Autoencoder Hashing for Supervised Cross-Modal Search (PDF)

2014

• CMNNH: Cross-Media Hashing with Neural Networks (PDF)

• MMNN: Multimodal Similarity-Preserving Hashing (PDF)

Naive Network(Similarity Constraint)

2022

• Bi-CMR: Bidirectional Reinforcement Guided Hashing for Effective Cross-Modal Retrieval (PDF) [Code]

• Bi-NCMH: Deep Normalized Cross-Modal Hashing with Bi-Direction Relation Reasoning (PDF)

2021

• OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval (PDF)

• DUCMH: Deep Unified Cross-Modality Hashing by Pairwise Data Alignment (PDF)

2020

• NRDH: Nonlinear Robust Discrete Hashing for Cross-Modal Retrieval (PDF)

• DCHUC: Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning (PDF) [Code]

2017

• CHN: Correlation Hashing Network for Efficient Cross-Modal Retrieval (PDF)

2016

• DVSH: Deep Visual-Semantic Hashing for Cross-Modal Retrieval (PDF)

Naive Network(Negative Log Likelihood)

2022

• MSSPQ: Multiple Semantic Structure-Preserving Quantization for Cross-Modal Retrieval (PDF)

2021

• DMFH: Deep Multiscale Fusion Hashing for Cross-Modal Retrieval (PDF)

• TEACH: Attention-Aware Deep Cross-Modal Hashing (PDF)

2020

• MDCH: Mask Cross-modal Hashing Networks (PDF)

2019

• EGDH: Equally-Guided Discriminative Hashing for Cross-modal Retrieval (PDF)

2018

• DDCMH: Dual Deep Neural Networks Cross-Modal Hashing (PDF)

• CMHH: Cross-Modal Hamming Hashing (PDF)

2017

• PRDH: Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval (PDF)

• DCMH: Deep Cross-Modal Hashing (PDF) [Code]

Naive Network(Triplet Constraint)

2019

• RDCMH: Multiple Semantic Structure-Preserving Quantization for Cross-Modal Retrieval (PDF)

2018

• MCSCH: Multi-Scale Correlation for Sequential Cross-modal Hashing Learning (PDF)

• TDH: Triplet-Based Deep Hashing Network for Cross-Modal Retrieval (PDF)

GAN

2022

• SCAHN: Semantic Structure Enhanced Contrastive Adversarial Hash Network for Cross-media Representation Learning (PDF) [Code]

2021

• TGCR: Multiple Semantic Structure-Preserving Quantization for Cross-Modal Retrieval (PDF)

2020

• CPAH: Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval (PDF) [Code]

• MLCAH: Multi-Level Correlation Adversarial Hashing for Cross-Modal Retrieval (PDF)

• DADH: Deep Adversarial Discrete Hashing for Cross-Modal Retrieval (PDF) [Code]

2019

• AGAH: Adversary Guided Asymmetric Hashing for Cross-Modal Retrieval (PDF) [Code]

2018

• SSAH: Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval (PDF) [Code]

Graph Model

2022

• HMAH: Multi-Task Consistency-Preserving Adversarial Hashing for Cross-Modal Retrieval (PDF)

• SCAHN: Semantic Structure Enhanced Contrastive Adversarial Hash Network for Cross-media Representation Learning (PDF) [Code]

2020

• LGCNH: Local Graph Convolutional Networks for Cross-Modal Hashing (PDF) [Code]

2020

• GCH: Graph Convolutional Network Hashing for Cross-Modal Retrieval (PDF) [Code]

Transformer

2022

• DCHMT: Differentiable Cross-modal Hashing via Multimodal Transformers (PDF) [Code]

• UniHash: Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval (PDF) [Code]

Memory Network

2021

• CMPD: Using Cross Memory Network With Pair Discrimination for Image-Text Retrieval (PDF)

2019

• CMMN: Deep Memory Network for Cross-Modal Retrieval (PDF)

Quantization

2022

• ACQH: Asymmetric Correlation Quantization Hashing for Cross-Modal Retrieval (PDF)

2017

• CDQ: Collective Deep Quantization for Efficient Cross-Modal Retrieval (PDF) [Code]

Usage

Datasets

• Quantization--CDQ

Dataset Link:

Baidu Yun Link: https://pan.baidu.com/s/1mO1hdsJR2FN5xEAv2e7eaw?pwd=us9v
Code: us9v

• GAN--CPAH

Dataset Link:

Baidu Yun Link: https://pan.baidu.com/s/145Zool0FUb3758EeSxtHBw?pwd=mxt7
Code: mxt7

• Transformer--DCHMT

Dataset Link:

Baidu Yun Link: https://pan.baidu.com/s/1UHr2NVjFkTjLXXQ8Izy5WA?pwd=qfsj
Code: qfsj

• Feature Mapping(Sample Constraint)(Label Constraint)--MDBE

Dataset Link:

Baidu Yun Link: https://pan.baidu.com/s/15BtQ_Zz7UihZBW6KXTTodA?pwd=ir7g
Code: ir7g

• Feature Mapping(Sample Constraint)(Common Hamming)--RoPH

Dataset Link:

Baidu Yun Link: https://pan.baidu.com/s/1_uIulkuxcIcubvl5u3zsOA?pwd=46c4
Code: 46c4