Browse State-of-the-Art › Real-Time Semantic Segmentation
Real-Time Semantic Segmentation
98 papers with code · 8 benchmarks · 12 datasets archive 2025-07-28
Semantic Segmentation is a computer vision task that involves assigning a semantic label to each pixel in an image. In Real-Time Semantic Segmentation, the goal is to perform this labeling quickly and accurately in real-time, allowing for the segmentation results to be used for tasks such as object recognition, scene understanding, and autonomous navigation.
( Image credit: TorchSeg )
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
12 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
30 shown of 98 papers with code (145 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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2 Nov 2015 74 repositories listed Syntology ran 9 of 44 samples · 35 unverified · 10 pointer-only (licence)We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.
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4 Dec 2016 67 repositories listed Syntology ran 7 of 29 samples · 22 unverified · 5 pointer-only (licence)Scene parsing is challenging for unrestricted open vocabulary and diverse scenes.
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7 Jun 2016 49 repositories listed Syntology ran 5 of 30 samples · 25 unverifiedThe ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications.
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20 May 2016 37 repositories listedConvolutional networks are powerful visual models that yield hierarchies of features.
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3 Sep 2019 24 repositories listedWe propose a Harmonic Densely Connected Network to achieve high efficiency in terms of both low MACs and memory traffic.
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12 Feb 2019 24 repositories listed Syntology ran 0 of 32 samples · 32 unverifiedThe encoder-decoder framework is state-of-the-art for offline semantic image segmentation.
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2 Aug 2018 21 repositories listed Syntology ran 6 of 18 samples · 12 unverified · 1 pointer-only (licence)Semantic segmentation requires both rich spatial information and sizeable receptive field.
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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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27 Apr 2017 18 repositories listedWe focus on the challenging task of real-time semantic segmentation in this paper.
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13 Apr 2021 17 repositories listed Syntology ran 12 of 29 samples · 17 unverified · 13 pointer-only (licence)We introduce a lightweight unit, conditional channel weighting, to replace costly pointwise (1x1) convolutions in shuffle blocks.
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9 Oct 2017 13 repositories listedA comprehensive set of experiments on the publicly available Cityscapes dataset demonstrates that our system achieves an accuracy that is similar to the state of the art, while being orders of magnitude faster to…
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28 Nov 2018 10 repositories listed Syntology ran 2 of 4 samples · 2 unverifiedCompared to YOLOv2 on the MS-COCO object detection, ESPNetv2 delivers 4.
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23 Nov 2015 9 repositories listed Syntology ran 2 of 8 samples · 6 unverified · 2 pointer-only (licence)State-of-the-art models for semantic segmentation are based on adaptations of convolutional networks that had originally been designed for image classification.
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15 Jan 2021 8 repositories listedThe proposed deep dual-resolution networks (DDRNets) are composed of two deep branches between which multiple bilateral fusions are performed.
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19 Mar 2018 8 repositories listed Syntology ran 4 of 10 samples · 6 unverifiedWe introduce a fast and efficient convolutional neural network, ESPNet, for semantic segmentation of high resolution images under resource constraints.
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5 Apr 2020 7 repositories listed Syntology ran 6 of 10 samples · 4 unverified · 5 pointer-only (licence)We propose to treat these spatial details and categorical semantics separately to achieve high accuracy and high efficiency for realtime semantic segmentation.
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4 Jun 2022 6 repositories listed Syntology ran 1 of 19 samples · 18 unverified · 1 pointer-only (licence)To alleviate this problem, we propose a novel three-branch network architecture: PIDNet, which contains three branches to parse detailed, context and boundary information, respectively, and employs boundary attention to…
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27 Apr 2021 6 repositories listed Syntology ran 8 of 16 samples · 8 unverifiedBiSeNet has been proved to be a popular two-stream network for real-time segmentation.
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24 Feb 2020 6 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 1 pointer-only (licence)A common practice to improve the performance is to attain high resolution feature maps with strong semantic representation.
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7 May 2019 6 repositories listedLEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
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20 Mar 2019 6 repositories listedRecent success of semantic segmentation approaches on demanding road driving datasets has spurred interest in many related application fields.
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27 Nov 2018 6 repositories listedCompared with real-time segmentation models such as BiSeNet, our model achieves higher accuracy at comparable speed on the Cityscapes Dataset, enabling the application in speed-demanding tasks such as street-scene…
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11 Feb 2015 6 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 2 pointer-only (licence)Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding.
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18 Sep 2022 5 repositories listedNotably, SegNeXt outperforms EfficientNet-L2 w/ NAS-FPN and achieves 90.
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17 Sep 2018 4 repositories listedReal-time semantic segmentation plays an important role in practical applications such as self-driving and robots.
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13 Sep 2018 4 repositories listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)Deployment of deep learning models in robotics as sensory information extractors can be a daunting task to handle, even using generic GPU cards.
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24 Nov 2016 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)Therefore, additional processing steps have to be performed in order to obtain pixel-accurate segmentation masks at the full image resolution.
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6 Apr 2022 3 repositories listedReal-world applications have high demands for semantic segmentation methods.
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18 Nov 2021 3 repositories listedTo effectively use the dilated convolution, we show a simple upper bound on the dilation rate in order to not leave gaps in between the convolutional weights, and design an SE-ResNeXt inspired block structure that uses…
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22 Apr 2021 3 repositories listedTo utilize automated methods in clinical settings, it is crucial to design lightweight models with low latency such that they can be integrated with low-end endoscope hardware devices.
Syntology lines on 17 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