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Content-Based Image Retrieval
34 papers with code · 1 benchmark · 5 datasets archive 2025-07-28
Content-Based Image Retrieval is a well studied problem in computer vision, with retrieval problems generally divided into two groups: category-level retrieval and instance-level retrieval. Given a query image of the Sydney Harbour bridge, for instance, category-level retrieval aims to find any bridge in a given dataset of images, whilst instance-level retrieval must find the Sydney Harbour bridge to be considered a match.
Source: Camera Obscurer: Generative Art for Design Inspiration
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| INRIA Holidays Dataset (1 row) | LHRR | Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
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
5 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
2 subtasks in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 34 papers with code (195 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.
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A clinically motivated self-supervised approach for content-based image retrieval of CT liver images11 Jul 2022 2 repositories listedWe address these limitations by (1) proposing a self-supervised learning framework that incorporates domain-knowledge into the training procedure and (2) providing the first representation learning explainability…
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19 Jun 2022 2 repositories listedThe proposed method is based on an initial training stage where a simple combination of visual and textual features is used, to fine-tune the CLIP text encoder.
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25 Nov 2021 2 repositories listedEven though it has extensively been shown that retrieval specific training of deep neural networks is beneficial for nearest neighbor image search quality, most of these models are trained and tested in the domain of…
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30 Nov 2018 2 repositories listed Syntology ran 0 of 5 samples · 5 unverifiedDeep metric learning aims to learn a function mapping image pixels to embedding feature vectors that model the similarity between images.
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15 Nov 2017 2 repositories listedIn this paper, we propose a new system to discriminatively embed the image and text to a shared visual-textual space.
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12 Aug 2016 2 repositories listedThis paper functions as a tutorial for individuals interested to enter the field of information retrieval but wouldn't know where to begin from.
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4 May 2025 1 repository listedOracle Bone Inscription (OBI) is the earliest systematic writing system in China, while the identification of Oracle Bone (OB) duplicates is a fundamental issue in OBI research.
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3 Dec 2024 1 repository listedFinally, we assess our performance for the interactive content-based image retrieval task on several benchmarks and demonstrate its superiority over existing approaches and common baselines.
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13 Nov 2024 1 repository listedWith the widespread adoption of digital devices equipped with cameras and the rapid development of Internet technology, numerous content-based image retrieval systems and novel image feature extraction techniques have…
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11 Mar 2024 1 repository listedDespite these challenges, our research underscores the vast potential of foundation models for CBIR in radiology, proposing a shift towards versatile, general-purpose medical image retrieval systems that do not require…
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15 Jan 2024 1 repository listedTo this end, we present a systematic overview on the possible adaptations of the vanilla MAE to exploit masked image modeling on multi-sensor RS image archives (denoted as cross-sensor masked autoencoders [CSMAEs]) in…
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16 Aug 2023 1 repository listedMost of the research in content-based image retrieval (CBIR) focus on developing robust feature representations that can effectively retrieve instances from a database of images that are visually similar to a query.
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20 Feb 2023 1 repository listedTo date, query performance prediction (QPP) in the context of content-based image retrieval remains a largely unexplored task, especially in the query-by-example scenario, where the query is an image.
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6 Jun 2022 1 repository listedWe propose a method for Saimaa ringed seal (Pusa hispida saimensis) re-identification.
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5 May 2022 1 repository listedCBIR with DNNs is generally solved by minimizing a ranking loss, such as Triplet loss (TL), computed on image representations extracted by a DNN from the original data.
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10 Jan 2022 1 repository listedWe propose a new application-independent content-based image retrieval (CBIR) system for reverse (sub-)image search across modalities, which combines deep learning to generate representations (embedding the different…
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26 Oct 2021 1 repository listed Syntology ran 9 of 9 samples · 0 unverifiedSince our re-ranking model is not directly involved with the visual feature used in the initial retrieval, it is ready to be applied to retrieval result lists obtained from various retrieval algorithms.
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3 Aug 2021 1 repository listedIn this paper, we introduce iART: an open Web platform for art-historical research that facilitates the process of comparative vision.
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19 Sep 2020 1 repository listedIn this paper, we present a fully-automated system for place recognition at a city-scale based on content-based image retrieval.
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2 Sep 2020 1 repository listedIt is shown that, if the adversary can only have access to the SIFT descriptors while not their coordinates, then the modest success of reconstructing the latent image can be achieved for highly-structured images (e.
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2 May 2020 1 repository listedDespite significant progress of applying deep learning methods to the field of content-based image retrieval, there has not been a software library that covers these methods in a unified manner.
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13 Feb 2020 1 repository listedIn a Content Based Image Retrieval (CBIR) System, the task is to retrieve similar images from a large database given a query image.
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1 Dec 2019 1 repository listedIn this paper, a novel manifold ranking algorithm is proposed based on the hypergraphs for unsupervised multimedia retrieval tasks.
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9 Aug 2019 1 repository listedThe analysis of natural disasters such as floods in a timely manner often suffers from limited data due to a coarse distribution of sensors or sensor failures.
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31 Jan 2019 1 repository listedDeep hashing models have been proposed as an efficient method for large-scale similarity search.
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29 Jan 2019 1 repository listed Syntology ran 2 of 6 samples · 4 unverifiedAn adversarial query is an image that has been modified to disrupt content-based image retrieval (CBIR) while appearing nearly untouched to the human eye.
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7 Sep 2018 1 repository listedWe propose Information-Theoretic Active Learning (ITAL), a novel batch-mode active learning method for binary classification, and apply it for acquiring meaningful user feedback in the context of content-based image…
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14 Dec 2017 1 repository listedIn this paper, we present a novel feature-augmented random forest (FARF) for image super-resolution, where the conventional gradient-based features are augmented with gradient magnitudes and different feature recipes…
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2 Nov 2017 1 repository listedQuery images presented to content-based image retrieval systems often have various different interpretations, making it difficult to identify the search objective pursued by the user.
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22 Apr 2017 1 repository listedMultiple instance learning (MIL) is a variation of traditional supervised learning problems where data (referred to as bags) are composed of sub-elements (referred to as instances) and only bag labels are available.
Syntology lines on 3 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections