Image Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

13 leaderboard tables shown for this task, 13 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 13 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

43 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 43 until expanded.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 2,073 papers with code (5,035 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.
• MobileNetV2: Inverted Residuals and Linear Bottlenecks
  13 Jan 2018 159 repositories listed Syntology ran 85 of 111 samples · 26 unverified · 64 pointer-only (licence)
  In this paper we describe a new mobile architecture, MobileNetV2, that improves the state of the art performance of mobile models on multiple tasks and benchmarks as well as across a spectrum of different model sizes.
• Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
  7 Feb 2018 78 repositories listed Syntology ran 43 of 72 samples · 29 unverified · 40 pointer-only (licence)
  The former networks are able to encode multi-scale contextual information by probing the incoming features with filters or pooling operations at multiple rates and multiple effective fields-of-view, while the latter…
• 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.
• DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  2 Jun 2016 47 repositories listed Syntology ran 28 of 63 samples · 35 unverified · 16 pointer-only (licence)
  ASPP probes an incoming convolutional feature layer with filters at multiple sampling rates and effective fields-of-views, thus capturing objects as well as image context at multiple scales.
• Attention U-Net: Learning Where to Look for the Pancreas
  11 Apr 2018 37 repositories listed Syntology ran 8 of 28 samples · 20 unverified · 7 pointer-only (licence)
  We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes.
• 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.
• V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
  15 Jun 2016 28 repositories listed Syntology ran 2 of 22 samples · 20 unverified
  Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields.
• 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 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.
• How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
  18 Jun 2021 16 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Vision Transformers (ViT) have been shown to attain highly competitive performance for a wide range of vision applications, such as image classification, object detection and semantic image segmentation.
• PointRend: Image Segmentation as Rendering
  17 Dec 2019 14 repositories listed Syntology ran 5 of 18 samples · 13 unverified
  We present a new method for efficient high-quality image segmentation of objects and scenes.
• UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
  11 Dec 2019 13 repositories listed Syntology ran 1 of 9 samples · 8 unverified · 2 pointer-only (licence)
  The state-of-the-art models for medical image segmentation are variants of U-Net and fully convolutional networks (FCN).
• TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation
  17 Jan 2018 13 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Pixel-wise image segmentation is demanding task in computer vision.
• Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation
  16 Jul 2019 12 repositories listed Syntology ran 8 of 15 samples · 7 unverified
  We design a novel uncertainty-aware scheme to enable the student model to gradually learn from the meaningful and reliable targets by exploiting the uncertainty information.
• Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
  10 Jan 2019 12 repositories listed Syntology ran 1 of 4 samples · 3 unverified · 1 pointer-only (licence)
  Therefore, we propose to search the network level structure in addition to the cell level structure, which forms a hierarchical architecture search space.
• Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
  20 Feb 2018 12 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 5 pointer-only (licence)
  In this paper, we propose a Recurrent Convolutional Neural Network (RCNN) based on U-Net as well as a Recurrent Residual Convolutional Neural Network (RRCNN) based on U-Net models, which are named RU-Net and R2U-Net…
• SAM 2: Segment Anything in Images and Videos
  1 Aug 2024 11 repositories listed Syntology ran 28 of 49 samples · 21 unverified
  We present Segment Anything Model 2 (SAM 2), a foundation model towards solving promptable visual segmentation in images and videos.
• W-Net: A Deep Model for Fully Unsupervised Image Segmentation
  22 Nov 2017 11 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 3 pointer-only (licence)
  While significant attention has been recently focused on designing supervised deep semantic segmentation algorithms for vision tasks, there are many domains in which sufficient supervised pixel-level labels are…
• MobileOne: An Improved One millisecond Mobile Backbone
  8 Jun 2022 10 repositories listed Syntology ran 1 of 6 samples · 5 unverified · 2 pointer-only (licence)
  Furthermore, we show that our model generalizes to multiple tasks - image classification, object detection, and semantic segmentation with significant improvements in latency and accuracy as compared to existing…
• Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation
  6 Jun 2022 10 repositories listed Syntology ran 11 of 13 samples · 2 unverified · 13 pointer-only (licence)
  In this paper we present Mask DINO, a unified object detection and segmentation framework.
• UNETR: Transformers for 3D Medical Image Segmentation
  18 Mar 2021 10 repositories listed
  Inspired by the recent success of transformers for Natural Language Processing (NLP) in long-range sequence learning, we reformulate the task of volumetric (3D) medical image segmentation as a sequence-to-sequence…
• nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
  27 Sep 2018 9 repositories listed Syntology ran 3 of 11 samples · 8 unverified
  The U-Net was presented in 2015.
• Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks
  7 Mar 2018 9 repositories listed
  Fully convolutional neural networks (F-CNNs) have set the state-of-the-art in image segmentation for a plethora of applications.
• Panoptic Segmentation
  3 Jan 2018 9 repositories listed
  We propose and study a task we name panoptic segmentation (PS).
• Segmenter: Transformer for Semantic Segmentation
  12 May 2021 8 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  In this paper we introduce Segmenter, a transformer model for semantic segmentation.

Syntology lines on 27 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.