Browse State-of-the-Art › Interactive Segmentation
Interactive Segmentation
111 papers with code · 14 benchmarks · 9 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
14 leaderboard tables shown for this task, 14 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. 10 shown of 14 until expanded.
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
9 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
30 shown of 111 papers with code (255 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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12 Feb 2021 5 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedWe find that the models trained on a combination of COCO and LVIS with diverse and high-quality annotations show performance superior to all existing models.
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29 May 2020 5 repositories listedAs nuclei, cells and glands are fundamental objects for downstream analysis in computational pathology/cytology, in this paper we propose a simple CNN-based approach to speed up collecting annotations for these objects…
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11 Mar 2025 4 repositories listed Syntology ran 3 of 9 samples · 6 unverifiedCrucially, it is the first method integrated into widely used image viewers (e.
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17 Oct 2023 4 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedWe present Set-of-Mark (SoM), a new visual prompting method, to unleash the visual grounding abilities of large multimodal models (LMMs), such as GPT-4V.
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30 Aug 2023 3 repositories listed Syntology ran 1 of 1 samples · 0 unverifiedTo bridge this gap, we introduce SAM-Med2D, the most comprehensive studies on applying SAM to medical 2D images.
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17 May 2023 3 repositories listed Syntology ran 3 of 4 samples · 1 unverifiedTested on 14 previously unseen datasets, the One-Prompt Model showcases superior zero-shot segmentation capabilities, outperforming a wide range of related methods.
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13 Apr 2023 3 repositories listedIn SEEM, we propose a novel decoding mechanism that enables diverse prompting for all types of segmentation tasks, aiming at a universal segmentation interface that behaves like large language models (LLMs).
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20 Sep 2021 3 repositories listed Syntology ran 2 of 5 samples · 3 unverifiedIn addition, with the proposed method, we develop an efficient interactive segmentation tool for practical data annotation tasks.
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17 Mar 2020 3 repositories listedWe propose a novel interactive architecture and a novel training scheme that are both tailored to better exploit the user workflow.
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13 Mar 2016 3 repositories listed Syntology ran 0 of 3 samples · 3 unverifiedInteractive object selection is a very important research problem and has many applications.
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11 Nov 2024 2 repositories listed Syntology ran 0 of 10 samples · 10 unverifiedFor flexibility, we distill scale-conditioned part-aware 3D features for 3D part segmentation at multiple granularities.
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9 Aug 2024 2 repositories listedThe proposed model adopts the segmentation from our fully automated model for initialization and is designed in a human-in-the-loop manner to achieve iterative improvements.
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1 Aug 2024 2 repositories listed Syntology ran 7 of 11 samples · 4 unverifiedMedical image segmentation plays a pivotal role in clinical diagnostics and treatment planning, yet existing models often face challenges in generalization and in handling both 2D and 3D data uniformly.
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10 Jul 2024 2 repositories listedThese models produce a segmentation from visual prompts provided to indicate the target region, which may offer a feasible solution for practical use.
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23 Apr 2024 2 repositories listed(3) Corrective learning.
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28 Dec 2023 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)Our main contributions are three folds: (i) for dataset construction, we construct the first multi-modal knowledge tree on human anatomy, including 6502 anatomical terminologies; Then, we build up the largest and most…
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11 Jun 2023 2 repositories listedTo tackle this problem, this paper proposes a simple yet effective Probabilistic Visual Prompt Unified Transformer (PVPUFormer) for interactive image segmentation, which allows users to flexibly input diverse visual…
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20 Apr 2023 2 repositories listedWe conclude that SAM shows impressive zero-shot segmentation performance for certain medical imaging datasets, but moderate to poor performance for others.
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12 Apr 2023 2 repositories listedThese phenomena conflict with conventional explainability methods based on the class attention map (CAM), where the raw model can highlight the local foreground regions using global supervision without alignment.
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20 Oct 2022 2 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 1 pointer-only (licence)Although this design is simple and has been proven effective, it has not yet been explored for interactive image segmentation.
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12 Jan 2022 2 repositories listedAutomatic segmentation of lung lesions associated with COVID-19 in CT images requires large amount of annotated volumes.
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1 Jan 2022 2 repositories listedHowever, the global view makes the model lose focus from later clicks, and is not in line with user intentions.
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25 Apr 2021 2 repositories listedTo solve these problems, we propose a novel deep learning-based interactive segmentation method that not only has high efficiency due to only requiring clicks as user inputs but also generalizes well to a range of…
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28 Sep 2020 2 repositories listedFirstly, compared to traditional surveys that directly divide literatures of deep learning on medical image segmentation into many groups and introduce literatures in detail for each group, we classify currently popular…
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1 Jun 2020 2 repositories listedThis paper explores how to harvest precise object segmentation masks while minimizing the human interaction cost.
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1 Jun 2020 2 repositories listedIn the task of interactive image segmentation, users initially click one point to segment the main body of the target object and then provide more points on mislabeled regions iteratively for a precise segmentation.
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28 Jan 2020 2 repositories listedWe propose f-BRS (feature backpropagating refinement scheme) that solves an optimization problem with respect to auxiliary variables instead of the network inputs, and requires running forward and backward pass just for…
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24 Nov 2017 2 repositories listedThis paper explores the use of extreme points in an object (left-most, right-most, top, bottom pixels) as input to obtain precise object segmentation for images and videos.
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10 Jul 2025 1 repository listedReconstructing and segmenting scenes from unconstrained photo collections obtained from the Internet is a novel but challenging task.
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4 May 2025 1 repository listedAs VFMs' popularity grows, there is an increasing interest in understanding their effectiveness for dense prediction tasks.
Syntology lines on 11 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