3D Semantic Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

19 leaderboard tables shown for this task, 19 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 19 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

41 datasets whose archive record lists this task, ordered by the archive's paper count. 30 shown of 41 until expanded.

Subtasks archive 2025-07-28

5 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 214 papers with code (348 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.

• PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  2 Dec 2016 110 repositories listed Syntology ran 89 of 164 samples · 75 unverified · 90 pointer-only (licence)
  Point cloud is an important type of geometric data structure.
• PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
  7 Jun 2017 68 repositories listed Syntology ran 36 of 67 samples · 31 unverified · 26 pointer-only (licence)
  By exploiting metric space distances, our network is able to learn local features with increasing contextual scales.
• 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.
• Dynamic Graph CNN for Learning on Point Clouds
  24 Jan 2018 21 repositories listed Syntology ran 16 of 44 samples · 28 unverified · 31 pointer-only (licence)
  Point clouds provide a flexible geometric representation suitable for countless applications in computer graphics; they also comprise the raw output of most 3D data acquisition devices.
• KPConv: Flexible and Deformable Convolution for Point Clouds
  18 Apr 2019 10 repositories listed Syntology ran 5 of 12 samples · 7 unverified · 3 pointer-only (licence)
  Furthermore, these locations are continuous in space and can be learned by the network.
• RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
  25 Nov 2019 9 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  We study the problem of efficient semantic segmentation for large-scale 3D point clouds.
• 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
  18 Apr 2019 8 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  To overcome challenges in the 4D space, we propose the hybrid kernel, a special case of the generalized sparse convolution, and the trilateral-stationary conditional random field that enforces spatio-temporal…
• Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
  31 Jul 2020 6 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  Self-driving cars need to understand 3D scenes efficiently and accurately in order to drive safely.
• 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
  28 Nov 2017 6 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Submanifold sparse convolutional networks
• SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
  7 Mar 2020 5 repositories listed Syntology ran 4 of 11 samples · 7 unverified · 1 pointer-only (licence)
  In this paper, we introduce SalsaNext for the uncertainty-aware semantic segmentation of a full 3D LiDAR point cloud in real-time.
• The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge
  2 Dec 2019 5 repositories listed Syntology ran 4 of 13 samples · 9 unverified · 4 pointer-only (licence)
  The 2019 Kidney and Kidney Tumor Segmentation challenge (KiTS19) was a competition held in conjunction with the 2019 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) which…
• SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
  2 Apr 2019 5 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  Despite the relevance of semantic scene understanding for this application, there is a lack of a large dataset for this task which is based on an automotive LiDAR.
• PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
  6 Dec 2018 5 repositories listed
  We present PartNet: a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information.
• SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
  19 Oct 2017 5 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  In this paper, we address semantic segmentation of road-objects from 3D LiDAR point clouds.
• PanopticNDT: Efficient and Robust Panoptic Mapping
  24 Sep 2023 4 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  As the application scenarios of mobile robots are getting more complex and challenging, scene understanding becomes increasingly crucial.
• OctFormer: Octree-based Transformers for 3D Point Clouds
  4 May 2023 4 repositories listed Syntology ran 2 of 9 samples · 7 unverified
  To combat this issue, several works divide point clouds into non-overlapping windows and constrain attentions in each local window.
• STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
  17 Mar 2022 4 repositories listed Syntology ran 4 of 23 samples · 19 unverified · 3 pointer-only (licence)
  Specifically, we introduce a synthetic aerial photogrammetry point clouds generation pipeline that takes full advantage of open geospatial data sources and off-the-shelf commercial packages.
• Mix3D: Out-of-Context Data Augmentation for 3D Scenes
  5 Oct 2021 4 repositories listed Syntology ran 4 of 25 samples · 21 unverified
  Since scene context helps reasoning about object semantics, current works focus on models with large capacity and receptive fields that can fully capture the global context of an input 3D scene.
• Shape-aware Semi-supervised 3D Semantic Segmentation for Medical Images
  21 Jul 2020 4 repositories listed
  Semi-supervised learning has attracted much attention in medical image segmentation due to challenges in acquiring pixel-wise image annotations, which is a crucial step for building high-performance deep learning…
• PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation
  31 Mar 2020 4 repositories listed Syntology ran 9 of 11 samples · 2 unverified · 1 pointer-only (licence)
  The need for fine-grained perception in autonomous driving systems has resulted in recently increased research on online semantic segmentation of single-scan LiDAR.
• DeepGCNs: Making GCNs Go as Deep as CNNs
  15 Oct 2019 4 repositories listed Syntology ran 1 of 9 samples · 8 unverified · 1 pointer-only (licence)
  This work transfers concepts such as residual/dense connections and dilated convolutions from CNNs to GCNs in order to successfully train very deep GCNs.
• Point-Voxel CNN for Efficient 3D Deep Learning
  8 Jul 2019 4 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 5 pointer-only (licence)
  The computation cost and memory footprints of the voxel-based models grow cubically with the input resolution, making it memory-prohibitive to scale up the resolution.
• On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR
  1 Nov 2024 3 repositories listed
  3D LiDAR point cloud data is crucial for scene perception in computer vision, robotics, and autonomous driving.
• Point Transformer V3: Simpler, Faster, Stronger
  15 Dec 2023 3 repositories listed Syntology ran 7 of 11 samples · 4 unverified
  This paper is not motivated to seek innovation within the attention mechanism.
• Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset
  24 Sep 2023 3 repositories listed
  Using our dataset and annotations, we release benchmarks for 3D object detection and 3D semantic segmentation using established metrics.
• CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving
  26 Jul 2022 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Accurate and fast scene understanding is one of the challenging task for autonomous driving, which requires to take full advantage of LiDAR point clouds for semantic segmentation.
• PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
  9 Jun 2022 3 repositories listed Syntology ran 7 of 17 samples · 10 unverified
  In this work, we revisit the classical PointNet++ through a systematic study of model training and scaling strategies, and offer two major contributions.
• Scribble-Supervised LiDAR Semantic Segmentation
  16 Mar 2022 3 repositories listed
  Densely annotating LiDAR point clouds remains too expensive and time-consuming to keep up with the ever growing volume of data.
• Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
  4 Jan 2022 3 repositories listed
  Semantic segmentation of brain tumors is a fundamental medical image analysis task involving multiple MRI imaging modalities that can assist clinicians in diagnosing the patient and successively studying the progression…
• Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
  18 Jan 2021 3 repositories listed
  Domain adaptation is an important task to enable learning when labels are scarce.

Syntology lines on 22 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.