Browse State-of-the-Art › Image Similarity Search
Image Similarity Search
14 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Image credit: The 2021 Image Similarity Dataset and Challenge
Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.
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
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
14 shown of 14 papers with code (18 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.
-
28 Feb 2017 14 repositories listed Syntology ran 8 of 35 samples · 27 unverified · 27 pointer-only (licence)Similarity search finds application in specialized database systems handling complex data such as images or videos, which are typically represented by high-dimensional features and require specific indexing structures.
-
26 Apr 2018 8 repositories listedSimilarity search approaches based on graph walks have recently attained outstanding speed-accuracy trade-offs, taking aside the memory requirements.
-
5 Jun 2023 2 repositories listedThis paper introduces a new challenge for image similarity search in the context of fashion, addressing the inherent ambiguity in this domain stemming from complex images.
-
7 Oct 2020 2 repositories listed Syntology ran 0 of 5 samples · 5 unverifiedThe search can directly warn fake news posters and online users (e.
-
12 May 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverifiedIn visual place recognition, accurately identifying and matching images of locations under varying environmental conditions and viewpoints remains a significant challenge.
-
16 Apr 2024 1 repository listedFew-shot segmentation is a task to segment objects or regions of novel classes within an image given only a few annotated examples.
-
7 Nov 2023 1 repository listedHashing is at the heart of large-scale image similarity search, and recent methods have been substantially improved through deep learning techniques.
-
30 Aug 2023 1 repository listedIn this paper, we evaluate the viability of the image embeddings from numerous pre-trained computer vision models using a novel approach named CorrEmbed.
-
8 May 2023 1 repository listedIt 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).
-
28 Feb 2023 1 repository listedThese proxy representations are thus used to construct a global index that encompasses the similarities between all places in the dataset, allowing for highly informative mini-batch sampling at each training iteration.
-
29 Nov 2022 1 repository listedThey have overlooked the wide characteristic changes of different classes and can not model abundant intra-class variations for generations.
-
3 Jun 2022 1 repository listedAs a consequence, such features are powerful to compare semantically related images but not really efficient to compare images visually similar but semantically unrelated.
-
10 Jun 2019 1 repository listed Syntology ran 0 of 13 samples · 13 unverifiedIt has been recently shown that the hidden variables of convolutional neural networks make for an efficient perceptual similarity metric that accurately predicts human judgment on relative image similarity assessment.
-
4 May 2019 1 repository listedWe present a model to measure the similarity in appearance between different materials, which correlates with human similarity judgments.
Syntology lines on 4 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