Browse State-of-the-Art › Instance Search
Instance Search
9 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Visual Instance Search is the task of retrieving from a database of images the ones that contain an instance of a visual query. It is typically much more challenging than finding images from the database that contain objects belonging to the same category as the object in the query. If the visual query is an image of a shoe, visual Instance Search does not try to find images of shoes, which might differ from the query in shape, color or size, but tries to find images of the exact same shoe as the one in the query image. Visual Instance Search challenges image representations as the features extracted from the images must enable such fine-grained recognition despite variations in viewpoints, scale, position, illumination, etc. Whereas holistic image representations, where each image is mapped to a single high-dimensional vector, are sufficient for coarse-grained similarity retrieval, local features are needed for instance retrieval.
Source: Dynamicity and Durability in Scalable Visual Instance Search
Description from the archive archive 2025-07-28.
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
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (29 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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29 Apr 2016 3 repositories listedThis work explores the suitability for instance retrieval of image- and region-wise representations pooled from an object detection CNN such as Faster R-CNN.
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9 Jul 2017 2 repositories listedIn this paper, we go beyond this spatial information and propose a local-aware encoding of convolutional features based on semantic information predicted in the target image.
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15 Apr 2016 2 repositories listedThis work proposes a simple instance retrieval pipeline based on encoding the convolutional features of CNN using the bag of words aggregation scheme (BoW).
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25 Feb 2023 1 repository listedk-nn search in an rpForest is influenced by two factors: 1) the dispersion of points along the random direction and 2) the number of rpTrees in the rpForest.
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3 Nov 2022 1 repository listedLawyers, for instance, search for appropriate precedents favorable to their clients, while the number of legal precedents is ever-growing.
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23 Oct 2021 1 repository listedTo address this issue, we propose a confidence-aware active feedback method (CAAF) that is specifically designed for online RF in interactive INS tasks.
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27 Apr 2021 1 repository listedIn total, 29 teams from various research organizations worldwide completed one or more of the following six tasks: 1.
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18 Dec 2019 1 repository listedSpecifically, we propose GlobalTrack, a pure global instance search based tracker that makes no assumption on the temporal consistency of the target's positions and scales.
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29 Nov 2017 1 repository listedThis work explores attention models to weight the contribution of local convolutional representations for the instance search task.
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