Browse State-of-the-Art › Open Vocabulary Attribute Detection
Open Vocabulary Attribute Detection
12 papers with code · 2 benchmarks · 1 dataset archive 2025-07-28
Open-Vocabulary Attribute Detection (OVAD) is a task that aims to detect and recognize an open set of objects and their associated attributes in an image. The objects and attributes are defined by text queries during inference, without prior knowledge of the tested classes during training.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 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 |
|---|---|---|---|---|---|
| OVAD-Box benchmark (7 rows) | X-VLM | Multi-Grained Vision Language Pre-Training: Aligning Texts with... | code | Syntology ran 1 of 1 samples · 0 unverified | Compare |
| OVAD benchmark (5 rows) | OvarNet (ViT-B16) | OvarNet: Towards Open-vocabulary Object Attribute Recognition | 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
1 dataset 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.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
12 shown of 12 papers with code (14 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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26 Feb 2021 82 repositories listed Syntology ran 16 of 20 samples · 4 unverified · 16 pointer-only (licence)State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories.
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30 Jan 2023 17 repositories listed Syntology ran 4 of 8 samples · 4 unverified · 1 pointer-only (licence)The cost of vision-and-language pre-training has become increasingly prohibitive due to end-to-end training of large-scale models.
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28 Jan 2022 9 repositories listedFurthermore, performance improvement has been largely achieved by scaling up the dataset with noisy image-text pairs collected from the web, which is a suboptimal source of supervision.
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16 Jul 2021 6 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 3 pointer-only (licence)Most existing methods employ a transformer-based multimodal encoder to jointly model visual tokens (region-based image features) and word tokens.
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14 Dec 2022 5 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)To address these limitations, we investigate scaling laws for contrastive language-image pre-training (CLIP) with the public LAION dataset and the open-source OpenCLIP repository.
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11 Feb 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverifiedThe evaluation of text-generative vision-language models is a challenging yet crucial endeavor.
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23 Jan 2023 1 repository listedIn this paper, we consider the problem of simultaneously detecting objects and inferring their visual attributes in an image, even for those with no manual annotations provided at the training stage, resembling an…
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23 Nov 2022 1 repository listed Syntology ran 3 of 10 samples · 7 unverifiedThe objective of the novel task and benchmark is to probe object-level attribute information learned by vision-language models.
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7 Jul 2022 1 repository listed Syntology ran 2 of 4 samples · 2 unverifiedTwo popular forms of weak-supervision used in open-vocabulary detection (OVD) include pretrained CLIP model and image-level supervision.
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12 May 2022 1 repository listedIn this work, we propose an open-vocabulary object detection method that, based on image-caption pairs, learns to detect novel object classes along with a given set of known classes.
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16 Nov 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedMost existing methods in vision language pre-training rely on object-centric features extracted through object detection and make fine-grained alignments between the extracted features and texts.
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20 Nov 2020 1 repository listedWeakly supervised and zero-shot learning techniques have been explored to scale object detectors to more categories with less supervision, but they have not been as successful and widely adopted as supervised models.
Syntology lines on 8 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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