Browse State-of-the-Art › Real-time Instance Segmentation
Real-time Instance Segmentation
22 papers with code · 8 benchmarks · 6 datasets archive 2025-07-28
Similar to its parent task, instance segmentation, but with the goal of achieving real-time capabilities under a defined setting.
Image Credit: SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
8 leaderboard tables shown for this task, 8 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.
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
6 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.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
22 shown of 22 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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4 Apr 2019 48 repositories listed Syntology ran 10 of 21 samples · 11 unverified · 6 pointer-only (licence)Then we produce instance masks by linearly combining the prototypes with the mask coefficients.
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3 Dec 2019 36 repositories listed Syntology ran 11 of 43 samples · 32 unverifiedThen we produce instance masks by linearly combining the prototypes with the mask coefficients.
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23 Mar 2020 18 repositories listed Syntology ran 15 of 38 samples · 23 unverified · 24 pointer-only (licence)Importantly, we take one step further by dynamically learning the mask head of the object segmenter such that the mask head is conditioned on the location.
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14 Dec 2022 14 repositories listed Syntology ran 3 of 20 samples · 17 unverifiedIn this paper, we aim to design an efficient real-time object detector that exceeds the YOLO series and is easily extensible for many object recognition tasks such as instance segmentation and rotated object detection.
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2 Jan 2020 9 repositories listedThe proposed BlendMask can effectively predict dense per-pixel position-sensitive instance features with very few channels, and learn attention maps for each instance with merely one convolution layer, thus being fast…
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15 Nov 2019 8 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)We hope that CenterMask and VoVNetV2 can serve as a solid baseline of real-time instance segmentation and backbone network for various vision tasks, respectively.
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24 Mar 2022 2 repositories listed Syntology ran 3 of 11 samples · 8 unverifiedIn this paper, we propose a conceptually novel, efficient, and fully convolutional framework for real-time instance segmentation.
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22 Dec 2020 2 repositories listedWe propose YolactEdge, the first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
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5 Mar 2024 1 repository listedIn the learning phase, we consider the radius as proportional to a standard deviation in order to compute the error to propagate on a set of two-dimensional Gaussian functions rather than disks.
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15 Aug 2023 1 repository listedMotion mode (M-mode) recording is an essential part of echocardiography to measure cardiac dimension and function.
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9 May 2023 1 repository listedIn this paper, we improve over CenterPoly by enhancing the classical regression L1 loss with a novel region-based loss and a novel order loss, as well as with a new training process for the vertices prediction head.
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15 Mar 2023 1 repository listed Syntology ran 2 of 9 samples · 7 unverifiedIn this paper, we show the strong potential of query-based models on efficient instance segmentation algorithm designs.
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21 Sep 2022 1 repository listedLastly, we describe and improve the mistakes caused by gradient-based comparison between synthetic and query images and publish a new pipeline for simulation of environments with movable objects from the Matterport…
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19 Oct 2021 1 repository listedWe present the effectiveness of maIoU on a state-of-the-art (SOTA) assigner, ATSS, by replacing IoU operation by our maIoU and training YOLACT, a SOTA real-time instance segmentation method.
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19 Aug 2021 1 repository listedThe models were trained and evaluated on Cityscapes, KITTI and IDD and the results are reported on their public benchmark, which are state-of-the-art at real-time speeds.
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23 Jun 2021 1 repository listedAlthough instance segmentation has made considerable advancement over recent years, it's still a challenge to design high accuracy algorithms with real-time performance.
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23 Mar 2021 1 repository listed Syntology ran 7 of 12 samples · 5 unverifiedSegmenting highly-overlapping objects is challenging, because typically no distinction is made between real object contours and occlusion boundaries.
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29 Jul 2020 1 repository listedIn terms of real-time capabilities, SipMask outperforms YOLACT with an absolute gain of 3.
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1 Jun 2020 1 repository listedWe propose a simple yet efficient anchor-free instance segmentation, called CenterMask, that adds a novel spatial attention-guided mask (SAG-Mask) branch to anchor-free one stage object detector (FCOS) in the same vein…
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6 Jan 2020 1 repository listedBased on deep snake, we develop a two-stage pipeline for instance segmentation: initial contour proposal and contour deformation, which can handle errors in object localization.
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12 Aug 2019 1 repository listedIn this paper, we propose a novel top-down instance segmentation framework based on explicit shape encoding, named \textbf{ESE-Seg}.
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27 May 2019 1 repository listedThe STS model can run at 35 FPS on a high-end desktop, but its accuracy is significantly worse than that of offline state-of-the-art methods.
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.
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