Deep Hashing

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 56 papers with code (149 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Deep Hashing Network for Unsupervised Domain Adaptation
  22 Jun 2017 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Domain adaptation or transfer learning algorithms address this challenge by leveraging labeled data in a different, but related source domain, to develop a model for the target domain.
• One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
  29 Sep 2021 2 repositories listed Syntology ran 4 of 6 samples · 2 unverified
  In this work, we propose a novel deep hashing model with only a single learning objective.
• Deep Multi Query Image Retrieval
  12 Aug 2020 2 repositories listed
  Existing methods are not based on hash codes.
• Targeted Attack for Deep Hashing based Retrieval
  15 Apr 2020 2 repositories listed
  In this paper, we propose a novel method, dubbed deep hashing targeted attack (DHTA), to study the targeted attack on such retrieval.
• Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN
  1 Dec 2018 2 repositories listed
  To convert the input into binary code, hashing algorithm has been widely used for approximate nearest neighbor search on large-scale image sets due to its computation and storage efficiency.
• SelaVPR++: Towards Seamless Adaptation of Foundation Models for Efficient Place Recognition
  23 Feb 2025 1 repository listed Syntology ran 2 of 9 samples · 7 unverified
  In our previous work, we propose a novel method to realize seamless adaptation of foundation models to VPR (SelaVPR).
• KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
  27 Dec 2024 1 repository listed Syntology ran 0 of 5 samples · 5 unverified
  Deep hashing has been widely used for large-scale approximate nearest neighbor search due to its storage and search efficiency.
• A Flexible Plug-and-Play Module for Generating Variable-Length
  12 Dec 2024 1 repository listed
  The NHL framework introduces a novel mechanism to simultaneously generate hash codes of varying lengths in a nested manner.
• Deep Class-guided Hashing for Multi-label Cross-modal Retrieval
  20 Oct 2024 1 repository listed
  Deep hashing, due to its low cost and efficient retrieval advantages, is widely valued in cross-modal retrieval.
• HybridHash: Hybrid Convolutional and Self-Attention Deep Hashing for Image Retrieval
  13 May 2024 1 repository listed
  The experimental results demonstrate that the method proposed in this paper has superior performance with respect to state-of-the-art deep hashing methods.
• Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval
  21 Nov 2023 1 repository listed
  Our work focuses on tackling large-scale fine-grained image retrieval as ranking the images depicting the concept of interests (i.
• Deep Hashing via Householder Quantization
  7 Nov 2023 1 repository listed
  Hashing is at the heart of large-scale image similarity search, and recent methods have been substantially improved through deep learning techniques.
• Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval
  23 Oct 2023 1 repository listed
  Further, we, for the first time, formulate the formalized adversarial training of deep hashing into a unified minimax optimization under the guidance of the generated mainstay codes.
• Supervised Auto-Encoding Twin-Bottleneck Hashing
  19 Jun 2023 1 repository listed
  Other existing methods construct the similarity graph and consider all points simultaneously.
• ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch
  8 May 2023 1 repository listed
  It is based on a deep hashing model to learn hash codes for fine-grained image similarity search in natural images and a two-stage method for efficiently searching binary hash codes using Elasticsearch (ES).
• Unsupervised Hashing with Similarity Distribution Calibration
  15 Feb 2023 1 repository listed
  However, these methods often overlook the fact that the similarity between data points in the continuous feature space may not be preserved in the discrete hash code space, due to the limited similarity range of hash…
• Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding
  14 Oct 2022 1 repository listed
  Deep hashing has been widely applied to large-scale image retrieval tasks owing to efficient computation and low storage cost by encoding high-dimensional image data into binary codes.
• HyP² Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval
  14 Aug 2022 1 repository listed
  Image retrieval has become an increasingly appealing technique with broad multimedia application prospects, where deep hashing serves as the dominant branch towards low storage and efficient retrieval.
• BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
  1 Jul 2022 1 repository listed Syntology ran 1 of 12 samples · 11 unverified
  In this paper, we propose BadHash, the first generative-based imperceptible backdoor attack against deep hashing, which can effectively generate invisible and input-specific poisoned images with clean label.
• One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching
  31 May 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  However, in the existing deep supervised hashing methods, coding balance and low-quantization error are difficult to achieve and involve several losses.
• CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval
  18 Apr 2022 1 repository listed
  On the one hand, CgAT generates the worst adversarial examples as augmented data by maximizing the Hamming distance between the hash codes of the adversarial examples and the center codes.
• Efficient Cross-Modal Retrieval via Deep Binary Hashing and Quantization
  15 Feb 2022 1 repository listed
  We simultaneously learn binary hash codes and quantization codes to preserve semantic information in multiple modalities by an end-to-end deep learning architecture.
• Asymmetric Hash Code Learning for Remote Sensing Image Retrieval
  15 Jan 2022 1 repository listed
  In this paper, we propose a novel deep hashing method, named asymmetric hash code learning (AHCL), for RSIR.
• Deep Hash Distillation for Image Retrieval
  16 Dec 2021 1 repository listed
  To mitigate this issue, data augmentation can be applied during training.
• HHF: Hashing-guided Hinge Function for Deep Hashing Retrieval
  4 Dec 2021 1 repository listed
  Deep hashing has shown promising performance in large-scale image retrieval.
• Vision Transformer Hashing for Image Retrieval
  26 Sep 2021 1 repository listed
  We utilize the pre-trained ViT on ImageNet as the backbone network and add the hashing head.
• Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning
  18 Sep 2021 1 repository listed
  To this end, we propose the confusing perturbations-induced backdoor attack (CIBA).
• Contrastive Quantization with Code Memory for Unsupervised Image Retrieval
  11 Sep 2021 1 repository listed
  The high efficiency in computation and storage makes hashing (including binary hashing and quantization) a common strategy in large-scale retrieval systems.
• Orthonormal Product Quantization Network for Scalable Face Image Retrieval
  1 Jul 2021 1 repository listed
  Experiments are conducted on four commonly-used face datasets under both seen and unseen identities retrieval settings.
• Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
  17 May 2021 1 repository listed
  However, deep hashing networks are vulnerable to adversarial examples, which is a practical secure problem but seldom studied in hashing-based retrieval field.

Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.