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Contrastive hashing with vision transformer for image retrieval

https://doi.org/10.1002/int.23082
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.21837openalex-snapshot
Look-a-Like: A Fast Content-Based Image Retrieval Approach Using a Hierarchically Nested Dynamically Evolving Image Clouds and Recursive Local Data Density
inferredcites →https://doi.org/10.1002/int.21920openalex-snapshot
Multimodal query-level fusion for efficient multimedia information retrieval
inferredcites →https://doi.org/10.1002/int.22315openalex-snapshot
Querying little is enough: Model inversion attack via latent information
inferredcites →https://doi.org/10.1002/int.22337openalex-snapshot
ImpSuic: A quality updating rule in mixing coins with maximum utilities
inferredcites →https://doi.org/10.1002/int.22680openalex-snapshot
ELAA: An efficient local adversarial attack using model interpreters
inferredcites →https://doi.org/10.1002/int.22737openalex-snapshot
Intelligent algorithm for dynamic functional brain network complexity from CN to AD
inferredcites →https://doi.org/10.1002/int.22748openalex-snapshot
A precision‐preferred comprehensive information extraction system for clinical articles in traditional Chinese Medicine
inferredcites →https://doi.org/10.1002/int.22759openalex-snapshot
Motif‐based embedding label propagation algorithm for community detection
inferredcites →https://doi.org/10.1002/int.22853openalex-snapshot
Cross‐modal retrieval based on deep regularized hashing constraints
inferredcites →https://doi.org/10.1007/978-3-030-37352-8_11openalex-snapshot
DeepWAF: Detecting Web Attacks Based on CNN and LSTM Models
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1016/j.asoc.2020.106782openalex-snapshot
Secure video retrieval using image query on an untrusted cloud
inferredcites →https://doi.org/10.1016/j.ins.2021.01.046openalex-snapshot
MHAT: An efficient model-heterogenous aggregation training scheme for federated learning
inferredcites →https://doi.org/10.1016/j.jpdc.2019.03.003openalex-snapshot
The security of machine learning in an adversarial setting: A survey
inferredcites →https://doi.org/10.1016/j.patcog.2021.107976openalex-snapshot
Deep center-based dual-constrained hashing for discriminative face image retrieval
inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.227openalex-snapshot
Deep Supervised Hashing for Fast Image Retrieval
inferredcites →https://doi.org/10.1109/cvpr.2018.00134openalex-snapshot
Deep Cauchy Hashing for Hamming Space Retrieval
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00289openalex-snapshot
Auto-Encoding Twin-Bottleneck Hashing
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00315openalex-snapshot
Central Similarity Quantization for Efficient Image and Video Retrieval
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01334openalex-snapshot
Self-supervised Video Hashing via Bidirectional Transformers
inferredcites →https://doi.org/10.1109/iccv.2017.598openalex-snapshot
HashNet: Deep Learning to Hash by Continuation
inferredcites →https://doi.org/10.1109/iccv48922.2021.00950openalex-snapshot
An Empirical Study of Training Self-Supervised Vision Transformers
inferredcites →https://doi.org/10.1109/iccv48922.2021.00951openalex-snapshot
Emerging Properties in Self-Supervised Vision Transformers
inferredcites →https://doi.org/10.1109/iccv48922.2021.01474openalex-snapshot
TransReID: Transformer-based Object Re-Identification
inferredcites →https://doi.org/10.1109/tdsc.2022.3143566openalex-snapshot
Attacking Deep Reinforcement Learning With Decoupled Adversarial Policy
inferredcites →https://doi.org/10.1109/tip.2016.2627801openalex-snapshot
Latent Semantic Minimal Hashing for Image Retrieval
inferredcites →https://doi.org/10.1109/tip.2020.2963952openalex-snapshot
Strongly Constrained Discrete Hashing
inferredcites →https://doi.org/10.1109/tpami.2009.151openalex-snapshot
Fast Similarity Search for Learned Metrics
inferredcites →https://doi.org/10.1109/tpami.2012.193openalex-snapshot
Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval
inferredcites →https://doi.org/10.1109/tpami.2017.2678475openalex-snapshot
Fast Supervised Discrete Hashing
inferredcites →https://doi.org/10.1109/tpami.2017.2699960openalex-snapshot
A Survey on Learning to Hash
inferredcites →https://doi.org/10.1145/1460096.1460104openalex-snapshot
The MIR flickr retrieval evaluation
inferredcites →https://doi.org/10.1145/3123266.3123345openalex-snapshot
Deep Asymmetric Pairwise Hashing
inferredcites →https://doi.org/10.1145/3512527.3531405openalex-snapshot
TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval
inferredcites →https://doi.org/10.1145/997817.997857openalex-snapshot
Locality-sensitive hashing scheme based on p-stable distributions
inferredcites →https://doi.org/10.1609/aaai.v28i1.8952openalex-snapshot
Supervised Hashing for Image Retrieval via Image Representation Learning
inferredcites →https://doi.org/10.1609/aaai.v30i1.10176openalex-snapshot
Column Sampling Based Discrete Supervised Hashing
inferredcites →https://doi.org/10.1609/aaai.v30i1.10235openalex-snapshot
Deep Hashing Network for Efficient Similarity Retrieval
inferredcites →https://doi.org/10.1609/aaai.v32i1.11814openalex-snapshot
Asymmetric Deep Supervised Hashing
inferredcites →https://doi.org/10.48550/arxiv.2006.07733openalex-snapshot
Bootstrap your own latent: A new approach to self-supervised Learning
inferredcites →https://doi.org/10.48550/arxiv.2102.04306openalex-snapshot
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
inferredcites →https://doi.org/10.48550/arxiv.2106.09785openalex-snapshot
Efficient Self-supervised Vision Transformers for Representation Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-92-2600-9_19openalex-snapshot
Exploring Multi-modal Large Language Models and Two-Stage Fine-Tuning for Fashion Image Retrieval
inferred← citeshttps://doi.org/10.1007/s11760-025-04611-9openalex-snapshot
Multimodal knowledge retrieval of layout image text based on CLIP and ViT
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.112752openalex-snapshot
Convolution-based Visual Transformer with Dual Space Shifting Attention hashing for image retrieval
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122745openalex-snapshot
Pooling-based Visual Transformer with low complexity attention hashing for image retrieval
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126902openalex-snapshot
Embedded Separate Deep Localization Feature Information Vision Transformer for Hash Image Retrieval
inferred← citeshttps://doi.org/10.1109/icivc70586.2026.11686535openalex-snapshot
Saliency-Guided Manifold-Preserving Hashing for Robust Image Copy Detection
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3417421openalex-snapshot
Cross-Modal Contrastive Learning With Spatiotemporal Context for Correlation-Aware Multiscale Remote Sensing Image Retrieval
inferred← citeshttps://doi.org/10.1142/s0218001423540290openalex-snapshot
Transformer with a Parallel Decoder for Image Captioning
inferred← citeshttps://doi.org/10.1145/3787854openalex-snapshot
FoodHash: Context-Aware Proxy Interaction and Fusion for Food Image Retrieval
inferred← citeshttps://doi.org/10.1155/2023/8931092openalex-snapshot
Privacy‐Preserving Image Retrieval Based on Disordered Local Histograms and Vision Transformer in Cloud Computing
inferred← citeshttps://doi.org/10.12677/csa.2025.1511280openalex-snapshot
Survey on Hash Image Retrieval Algorithms Based on CNN and Vision Transformer
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