2D Semantic Segmentation

Benchmarks archive 2025-07-28

11 leaderboard tables shown for this task, 11 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 11 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

81 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 81 until expanded.

Subtasks archive 2025-07-28

17 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 49 papers with code (79 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.

• 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.
• SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
  31 May 2021 28 repositories listed Syntology ran 48 of 86 samples · 38 unverified · 15 pointer-only (licence)
  We present SegFormer, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders.
• Unified Perceptual Parsing for Scene Understanding
  26 Jul 2018 25 repositories listed Syntology ran 9 of 28 samples · 19 unverified
  In this paper, we study a new task called Unified Perceptual Parsing, which requires the machine vision systems to recognize as many visual concepts as possible from a given image.
• Masked-attention Mask Transformer for Universal Image Segmentation
  2 Dec 2021 7 repositories listed Syntology ran 2 of 8 samples · 6 unverified
  While only the semantics of each task differ, current research focuses on designing specialized architectures for each task.
• xBD: A Dataset for Assessing Building Damage from Satellite Imagery
  21 Nov 2019 4 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  xBD is the largest building damage assessment dataset to date, containing 850, 736 building annotations across 45, 362 km\textsuperscript{2} of imagery.
• SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks
  28 Jan 2024 2 repositories listed
  AfNs are designed to improve the efficiency in the one-to-one conversion of the semantic information by deploying additional convolution layers in the decoder part.
• DenseMTL: Cross-task Attention Mechanism for Dense Multi-task Learning
  17 Jun 2022 2 repositories listed
  Multi-task learning has recently emerged as a promising solution for a comprehensive understanding of complex scenes.
• Realtime Global Attention Network for Semantic Segmentation
  24 Dec 2021 2 repositories listed
  In this paper, we proposed an end-to-end realtime global attention neural network (RGANet) for the challenging task of semantic segmentation.
• NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification
  22 May 2025 1 repository listed
  Artificial Intelligence (AI) is accelerating the transformation of scientific research paradigms, not only enhancing research efficiency but also driving innovation.
• Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature Fusion
  8 Apr 2025 1 repository listed
  Identifying biomarkers in medical images is vital for a wide range of biotech applications.
• 2D Semantic-Guided Semantic Scene Completion
  12 Sep 2024 1 repository listed
  Semantic scene completion (SSC) aims to simultaneously perform scene completion (SC) and predict semantic categories of a 3D scene from a single depth and/or RGB image.
• Wavelet Convolutions for Large Receptive Fields
  8 Jul 2024 1 repository listed Syntology ran 7 of 14 samples · 7 unverified
  In recent years, there have been attempts to increase the kernel size of Convolutional Neural Nets (CNNs) to mimic the global receptive field of Vision Transformers' (ViTs) self-attention blocks.
• Gasformer: A Transformer-based Architecture for Segmenting Methane Emissions from Livestock in Optical Gas Imaging
  16 Apr 2024 1 repository listed
  Methane emissions from livestock, particularly cattle, significantly contribute to climate change.
• ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model
  4 Apr 2024 1 repository listed Syntology ran 5 of 9 samples · 4 unverified
  Convolutional neural networks (CNN) and Transformers have made impressive progress in the field of remote sensing change detection (CD).
• MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
  30 Nov 2023 1 repository listed
  Deep neural networks have shown exemplary performance on semantic scene understanding tasks on source domains, but due to the absence of style diversity during training, enhancing performance on unseen target domains…
• SWRNet: A Deep Learning Approach for Small Surface Water Area Recognition Onboard Satellite
  27 Oct 2023 1 repository listed
  This article proposes a deep learning approach for small surface water recognition using multispectral satellite imaging, which reduces the computational complexity by 18.
• Achelous: A Fast Unified Water-surface Panoptic Perception Framework based on Fusion of Monocular Camera and 4D mmWave Radar
  14 Jul 2023 1 repository listed
  Current perception models for different tasks usually exist in modular forms on Unmanned Surface Vehicles (USVs), which infer extremely slowly in parallel on edge devices, causing the asynchrony between perception…
• Mci-net: multi-scale context integrated network for liver ct image segmentation
  3 May 2023 1 repository listed
  Owing to the various object scales and high similarity with the surrounding organs (e.
• Semantic Segmentation with High Inference Speed in Off-Road Environments
  10 Apr 2023 1 repository listed
  In this research, SwiftNet, a semantic segmentation deep learning model designed for high inference speed and accuracy on images with large dimensions, was implemented and evaluated for inference speed of semantic…
• Utilizing Neural Networks for Semantic Segmentation on RGB/LiDAR Fused Data for Off-road Autonomous Military Vehicle Perception
  10 Apr 2023 1 repository listed
  One of the weaknesses of image segmentation from camera data is that it lacks depth information, and it can be affected by environment lighting.
• Microstructural segmentation using a union of attention guided U-Net models with different color transformed images
  7 Apr 2023 1 repository listed
  Then we apply the sum-rule-based ensemble method on the outcomes of U-Net models to get the final prediction mask.
• SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
  30 Mar 2023 1 repository listed
  High-resolution images enable neural networks to learn richer visual representations.
• Novel Class Discovery for 3D Point Cloud Semantic Segmentation
  21 Mar 2023 1 repository listed
  Firstly, we address the new problem of NCD for point cloud semantic segmentation.
• CANet: Context aware network with dual-stream pyramid for medical image segmentation
  5 Mar 2023 1 repository listed
  Owing to the various object types and scales, complicated backgrounds, and similar appearance between tissues in medical images, it is difficult to extract some valuable information from different medical images.
• CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains
  16 Jun 2022 1 repository listed
  Unsupervised Domain Adaptation demonstrates great potential to mitigate domain shifts by transferring models from labeled source domains to unlabeled target domains.
• S²-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic Segmentation
  15 Jun 2022 1 repository listed
  This paper presents a new model to achieve a trade-off between accuracy/speed for real-time road scene semantic segmentation.
• COVIR: A virtual rendering of a novel NN architecture O-Net for COVID-19 Ct-scan automatic lung lesions segmentation
  15 May 2022 1 repository listed
  With the Coronavirus disease 2019 (COVID-19) spread, causing a world pandemic, and recently, the virus new variants continue to appear, making the situation more challenging and threatening, the visual assessment and…
• Neural 3D Scene Reconstruction with the Manhattan-world Assumption
  5 May 2022 1 repository listed
  Based on the Manhattan-world assumption, planar constraints are employed to regularize the geometry in floor and wall regions predicted by a 2D semantic segmentation network.
• Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network
  17 Apr 2022 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  This motivates us to conduct a "task transfer" paradigm so that 3D semantic segmentation benefits from aggregating 2D semantic cues, albeit pose noises are contained in 2D image observations.
• FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
  30 Mar 2022 1 repository listed
  Our framework involves independent dense prediction of object category and part attributes which increases scalability and reduces task complexity compared to the monolithic label space counterpart.

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.