3D Classification

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

15 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 42 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.

• 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.
• Learning SO(3) Equivariant Representations with Spherical CNNs
  17 Nov 2017 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  We address the problem of 3D rotation equivariance in convolutional neural networks.
• Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imaging
  17 Aug 2023 2 repositories listed
  The study underscores the potential of VIT to improve the reproducibility and clinical relevance of AI systems in medical imaging.
• Robustifying Point Cloud Networks by Refocusing
  10 Aug 2023 2 repositories listed Syntology ran 15 of 22 samples · 7 unverified · 22 pointer-only (licence)
  In this study, we develop a general mechanism to increase neural network robustness based on focus analysis.
• PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
  21 Nov 2022 2 repositories listed Syntology ran 5 of 12 samples · 7 unverified
  In this paper, we first collaborate CLIP and GPT to be a unified 3D open-world learner, named as PointCLIP V2, which fully unleashes their potential for zero-shot 3D classification, segmentation, and detection.
• Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
  30 Nov 2021 2 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  To this end, we introduce the concept of the multi-view point cloud (Voint cloud), representing each 3D point as a set of features extracted from several view-points.
• Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images
  22 Nov 2021 2 repositories listed
  Secondly, the original dataset was processed via anatomy-relevant masking of slice, removing none-representative slices from the CT volume, and hyperparameters tuning.
• MVTN: Multi-View Transformation Network for 3D Shape Recognition
  26 Nov 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  MVTN exhibits clear performance gains in the tasks of 3D shape classification and 3D shape retrieval without the need for extra training supervision.
• PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
  9 Feb 2020 2 repositories listed
  The PointHop method was recently proposed by Zhang et al.
• Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
  24 Nov 2024 1 repository listed
  Purpose: This study investigated how nodule segmentation and surrounding peritumoral regions influence radionics-based lung cancer classification.
• PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
  14 Oct 2024 1 repository listed
  KANs have been integrated into various deep learning architectures such as convolutional neural networks, graph neural networks, and transformers, with their performance evaluated.
• Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
  21 Sep 2024 1 repository listed
  Semi-supervised learning (SSL) has shown its effectiveness in learning effective 3D representation from a small amount of labelled data while utilizing large unlabelled data.
• P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders
  19 Aug 2024 1 repository listed
  In contrast, we propose a tokenizer with linear-time complexity, which enables the efficient embedding of a flexible number of tokens.
• AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans
  2 Jul 2024 1 repository listed
  To test our method and ensure the reproducibility of our results, we chose a standardized collection of MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
• SE3D: A Framework For Saliency Method Evaluation In 3D Imaging
  23 May 2024 1 repository listed
  A fundamental limitation to the development of 3D saliency methods is the lack of a benchmark to quantitatively assess these on 3D data.
• Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding
  27 Dec 2023 1 repository listed
  The large model GMViT achieves excellent 3D classification and retrieval results on the benchmark datasets ModelNet, ShapeNetCore55, and MCB.
• ViT-Lens: Initiating Omni-Modal Exploration through 3D Insights
  20 Aug 2023 1 repository listed
  A well-trained lens with a ViT backbone has the potential to serve as one of these foundation models, supervising the learning of subsequent modalities.
• Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation
  6 Aug 2023 1 repository listed
  Insufficient synergy neglects the idea that a robust 3D representation should align with the joint vision-language space, rather than independently aligning with each modality.
• OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
  18 May 2023 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  Due to their alignment with CLIP embeddings, our learned shape representations can also be integrated with off-the-shelf CLIP-based models for various applications, such as point cloud captioning and point…
• ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
  14 May 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  It achieves a new SOTA of 50.
• MVTN: Learning Multi-View Transformations for 3D Understanding
  27 Dec 2022 1 repository listed
  Multi-view projection techniques have shown themselves to be highly effective in achieving top-performing results in the recognition of 3D shapes.
• ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
  10 Dec 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Then, ULIP learns a 3D representation space aligned with the common image-text space, using a small number of automatically synthesized triplets.
• Local Neighborhood Features for 3D Classification
  9 Dec 2022 1 repository listed
  We train and evaluate PointNeXt on ModelNet40 (synthetic), ScanObjectNN (real-world), and a recent large-scale, real-world grocery dataset, i.
• PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial Attack
  14 Sep 2022 1 repository listed
  Adversarial contrastive learning (ACL) is considered an effective way to improve the robustness of pre-trained models.
• SimpleView++: Neighborhood Views for Point Cloud Classification
  8 Sep 2022 1 repository listed
  Among these methods, the Simple View model demonstrates that features from six orthogonal perspective projections of a point cloud achieved comparable 3D classification.
• APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification
  2 May 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In the existing work, each point in the cloud may inevitably be selected as the neighbors of multiple aggregation centers, as all centers will gather neighbor features from the whole point cloud independently.
• M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice Transformer
  1 Jan 2022 1 repository listed
  The proposed network synergically combines 3D CNN, 2D CNN, and Transformer for accurate AD classification.
• Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network
  17 Dec 2021 1 repository listed
  It results in a serious issue of lagged gradient, making the learned attack at the current step ineffective due to the architecture changes afterward.
• Multimodal Semi-Supervised Learning for 3D Objects
  22 Oct 2021 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  This paper explores how the coherence of different modelities of 3D data (e.
• Dynamic Local Geometry Capture in 3D PointCloud Classification
  19 Oct 2021 1 repository listed
  We propose a novel technique of dynamically oriented and scaled ellipsoid based on unique local information to capture the local geometry better.

Syntology lines on 11 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.