Segmentation

Benchmarks archive 2025-07-28

5 leaderboard tables shown for this task, 5 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

45 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 45 until expanded.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 5,255 papers with code (13,072 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.

• U-Net: Convolutional Networks for Biomedical Image Segmentation
  18 May 2015 487 repositories listed Syntology ran 510 of 757 samples · 247 unverified · 426 pointer-only (licence)
  There is large consent that successful training of deep networks requires many thousand annotated training samples.
• Mask R-CNN
  20 Mar 2017 179 repositories listed Syntology ran 42 of 140 samples · 98 unverified · 23 pointer-only (licence)
  Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.
• Rethinking Atrous Convolution for Semantic Image Segmentation
  17 Jun 2017 77 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 3 pointer-only (licence)
  To handle the problem of segmenting objects at multiple scales, we design modules which employ atrous convolution in cascade or in parallel to capture multi-scale context by adopting multiple atrous rates.
• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  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.
• Searching for MobileNetV3
  6 May 2019 67 repositories listed Syntology ran 58 of 105 samples · 47 unverified · 46 pointer-only (licence)
  We achieve new state of the art results for mobile classification, detection and segmentation.
• Fully Convolutional Networks for Semantic Segmentation
  14 Nov 2014 51 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  Convolutional networks are powerful visual models that yield hierarchies of features.
• YOLACT: Real-time Instance Segmentation
  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.
• Microsoft COCO: Common Objects in Context
  1 May 2014 38 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding.
• Fully Convolutional Networks for Semantic Segmentation
  20 May 2016 37 repositories listed
  Convolutional networks are powerful visual models that yield hierarchies of features.
• YOLACT++: Better Real-time Instance Segmentation
  3 Dec 2019 36 repositories listed Syntology ran 11 of 43 samples · 32 unverified
  Then we produce instance masks by linearly combining the prototypes with the mask coefficients.
• UNet++: A Nested U-Net Architecture for Medical Image Segmentation
  18 Jul 2018 34 repositories listed Syntology ran 5 of 28 samples · 23 unverified · 2 pointer-only (licence)
  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
• Segment Anything
  5 Apr 2023 32 repositories listed Syntology ran 8 of 23 samples · 15 unverified
  We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation.
• 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
  21 Jun 2016 27 repositories listed Syntology ran 53 of 76 samples · 23 unverified · 20 pointer-only (licence)
  This paper introduces a network for volumetric segmentation that learns from sparsely annotated volumetric images.
• Neural Machine Translation of Rare Words with Subword Units
  31 Aug 2015 26 repositories listed Syntology ran 21 of 30 samples · 9 unverified · 21 pointer-only (licence)
  Neural machine translation (NMT) models typically operate with a fixed vocabulary, but translation is an open-vocabulary problem.
• Point Transformer
  16 Dec 2020 24 repositories listed
  For example, on the challenging S3DIS dataset for large-scale semantic scene segmentation, the Point Transformer attains an mIoU of 70.
• SOLO: Segmenting Objects by Locations
  10 Dec 2019 24 repositories listed
  We present a new, embarrassingly simple approach to instance segmentation in images.
• Fast-SCNN: Fast Semantic Segmentation Network
  12 Feb 2019 24 repositories listed Syntology ran 0 of 32 samples · 32 unverified
  The encoder-decoder framework is state-of-the-art for offline semantic image segmentation.
• The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
  28 Nov 2016 23 repositories listed Syntology ran 1 of 24 samples · 23 unverified · 6 pointer-only (licence)
  State-of-the-art approaches for semantic image segmentation are built on Convolutional Neural Networks (CNNs).
• TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
  8 Feb 2021 22 repositories listed Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
  Medical image segmentation is an essential prerequisite for developing healthcare systems, especially for disease diagnosis and treatment planning.
• Semantic Understanding of Scenes through the ADE20K Dataset
  18 Aug 2016 22 repositories listed Syntology ran 1 of 3 samples · 2 unverified · 1 pointer-only (licence)
  Scene parsing, or recognizing and segmenting objects and stuff in an image, is one of the key problems in computer vision.
• Visual Attention Network
  20 Feb 2022 21 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  In this paper, we propose a novel linear attention named large kernel attention (LKA) to enable self-adaptive and long-range correlations in self-attention while avoiding its shortcomings.
• BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
  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.
• Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
  9 Nov 2015 21 repositories listed Syntology ran 0 of 18 samples · 18 unverified
  Semantic segmentation is an important tool for visual scene understanding and a meaningful measure of uncertainty is essential for decision making.
• SOLOv2: Dynamic and Fast Instance Segmentation
  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.
• Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
  9 Feb 2019 18 repositories listed Syntology ran 3 of 17 samples · 14 unverified
  This work summarizes the results of the largest skin image analysis challenge in the world, hosted by the International Skin Imaging Collaboration (ISIC), a global partnership that has organized the world's largest…
• ICNet for Real-Time Semantic Segmentation on High-Resolution Images
  27 Apr 2017 18 repositories listed
  We focus on the challenging task of real-time semantic segmentation in this paper.
• Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
  22 Dec 2014 18 repositories listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  This is due to the very invariance properties that make DCNNs good for high level tasks.
• Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
  5 Jul 2018 16 repositories listed
  Convolutional autoencoders have emerged as popular methods for unsupervised defect segmentation on image data.
• Real-time Scene Text Detection with Differentiable Binarization
  20 Nov 2019 15 repositories listed Syntology ran 3 of 25 samples · 22 unverified
  Recently, segmentation-based methods are quite popular in scene text detection, as the segmentation results can more accurately describe scene text of various shapes such as curve text.
• MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
  22 Dec 2016 15 repositories listed Syntology ran 6 of 42 samples · 36 unverified
  While most approaches to semantic reasoning have focused on improving performance, in this paper we argue that computational times are very important in order to enable real time applications such as autonomous driving.

Syntology lines on 25 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.