Browse State-of-the-Art › Open Vocabulary Panoptic Segmentation
Open Vocabulary Panoptic Segmentation
12 papers with code · 1 benchmark · 1 dataset 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 |
|---|---|---|---|---|---|
| ADE20K (10 rows) | UMG-CLIP-E/14 | UMG-CLIP: A Unified Multi-Granularity Vision Generalist for... | 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.
Most implemented papers archive 2025-07-28
12 shown of 12 papers with code (17 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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11 Sep 2023 2 repositories listedIn this paper, we propose to the best of our knowledge the first algorithm for open-vocabulary panoptic segmentation in 3D scenes.
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22 May 2025 1 repository listedTo the best of our knowledge, OpenSeg-R is the first framework to introduce explicit step-by-step visual reasoning into OVS.
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25 Dec 2024 1 repository listedOpen-vocabulary panoptic segmentation remains a challenging problem.
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11 Dec 2024 1 repository listedTo the best of our knowledge, EOV-Seg is the first open-vocabulary panoptic segmentation framework towards efficiency, which runs faster and achieves competitive performance compared with state-of-the-art methods.
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1 Aug 2024 1 repository listedIn this way, the vision and text representation of CLIP are optimized collaboratively, enhancing the alignment of the vision-text feature space.
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14 Mar 2024 1 repository listedIn this paper, we introduce an open-vocabulary panoptic segmentation model that effectively unifies the strengths of the Segment Anything Model (SAM) with the vision-language CLIP model in an end-to-end framework.
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12 Jan 2024 1 repository listedVision-language foundation models, represented by Contrastive Language-Image Pre-training (CLIP), have gained increasing attention for jointly understanding both vision and textual tasks.
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2 Oct 2023 1 repository listed Syntology ran 2 of 6 samples · 4 unverified · 6 pointer-only (licence)However, when transferring the vision-language alignment of CLIP from global image representation to local region representation for the open-vocabulary dense prediction tasks, CLIP ViTs suffer from the domain shift…
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4 Aug 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverifiedThe proposed FC-CLIP, benefits from the following observations: the frozen CLIP backbone maintains the ability of open-vocabulary classification and can also serve as a strong mask generator, and the convolutional CLIP…
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8 Mar 2023 1 repository listedOur approach outperforms the previous state of the art by significant margins on both open-vocabulary panoptic and semantic segmentation tasks.
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18 Aug 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)In this paper, we tackle an emerging computer vision task, open-vocabulary universal image segmentation, that aims to perform semantic/instance/panoptic segmentation (background semantic labeling + foreground instance…
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2 Dec 2021 1 repository listedContrastive Language-Image Pre-training (CLIP) has made a remarkable breakthrough in open-vocabulary zero-shot image recognition.
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.
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