Browse State-of-the-Art › Zero-Shot Counting
Zero-Shot Counting
12 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
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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
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Most implemented papers archive 2025-07-28
12 shown of 12 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.
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5 Jul 2024 2 repositories listed Syntology ran 4 of 9 samples · 5 unverifiedThe goal of this paper is to improve the generality and accuracy of open-vocabulary object counting in images.
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10 Feb 2025 1 repository listedZero-shot counting is a subcategory of Generic Visual Object Counting, which aims to count objects from an arbitrary class in a given image.
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1 Jan 2025 1 repository listedTo address this challenge, we propose a Hierarchical Semantic Correction Module that progressively refines text-image feature alignment, and a Representational Regional Coherence Loss that provides reliable supervision…
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6 Jul 2024 1 repository listedZero-shot object counting (ZOC) aims to enumerate objects in images using only the names of object classes during testing, without the need for manual annotations.
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5 Jun 2024 1 repository listedLarge vision-language models (VLMs) are shown to learn rich joint image-text representations enabling high performances in relevant downstream tasks.
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25 Apr 2024 1 repository listed Syntology ran 16 of 18 samples · 2 unverifiedDAVE outperforms the top density-based counters by ~20% in the total count MAE, it outperforms the most recent detection-based counter by ~20% in detection quality and sets a new state-of-the-art in zero-shot as well as…
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1 Jan 2024 1 repository listedIn this paper we propose a generalized framework for both few-shot and zero-shot object counting based on detection.
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27 Dec 2023 1 repository listedZero-Shot Object Counting (ZSOC) aims to count referred instances of arbitrary classes in a query image without human-annotated exemplars.
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21 Nov 2023 1 repository listedIn this paper, we propose a generalized framework for both few-shot and zero-shot object counting based on detection.
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2 Jun 2023 1 repository listedOur objective is open-world object counting in images, where the target object class is specified by a text description.
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12 May 2023 1 repository listed Syntology ran 4 of 4 samples · 0 unverifiedSpecifically, we propose CLIP-Count, the first end-to-end pipeline that estimates density maps for open-vocabulary objects with text guidance in a zero-shot manner.
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3 Mar 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)By applying this model to all the candidate patches, we can select the most suitable patches as exemplars for counting.
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.
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