3D Object Recognition

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 32 papers with code (97 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.

• BlenderProc
  25 Oct 2019 4 repositories listed
  BlenderProc is a modular procedural pipeline, which helps in generating real looking images for the training of convolutional neural networks.
• Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
  24 Oct 2016 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  We study the problem of 3D object generation.
• R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition
  20 Nov 2022 2 repositories listed
  Recently, vision architectures based exclusively on multi-layer perceptrons (MLPs) have gained much attention in the computer vision community.
• MVT: Multi-view Vision Transformer for 3D Object Recognition
  25 Oct 2021 2 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 3 pointer-only (licence)
  Nevertheless, multi-view CNN models cannot model the communications between patches from different views, limiting its effectiveness in 3D object recognition.
• SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
  25 Jul 2019 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In this paper we propose a neural message passing approach to augment an input 3D indoor scene with new objects matching their surroundings.
• FPNN: Field Probing Neural Networks for 3D Data
  20 May 2016 2 repositories listed
  Each field probing filter is a set of probing points --- sensors that perceive the space.
• Volumetric and Multi-View CNNs for Object Classification on 3D Data
  12 Apr 2016 2 repositories listed
  Empirical results from these two types of CNNs exhibit a large gap, indicating that existing volumetric CNN architectures and approaches are unable to fully exploit the power of 3D representations.
• Sparse 3D convolutional neural networks
  12 May 2015 2 repositories listed
  We have implemented a convolutional neural network designed for processing sparse three-dimensional input data.
• SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point Clouds
  16 Jun 2025 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Recent advancements in deep learning have greatly enhanced 3D object recognition, but most models are limited to closed-set scenarios, unable to handle unknown samples in real-world applications.
• Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing
  12 May 2025 1 repository listed
  Experimental results in the Nuscenes, SemanticKITTI, and Waymo datasets demonstrate that the proposed method achieves competitive performance, with an approximately 16x reduction in model size and a nearly 1.
• Targeted View-Invariant Adversarial Perturbations for 3D Object Recognition
  17 Dec 2024 1 repository listed
  Adversarial attacks pose significant challenges in 3D object recognition, especially in scenarios involving multi-view analysis where objects can be observed from varying angles.
• 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.
• One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal Perturbation
  2 Apr 2024 1 repository listed
  This paper presents a novel universal perturbation method for generating robust multi-view adversarial examples in 3D object recognition.
• Lifting Multi-View Detection and Tracking to the Bird's Eye View
  19 Mar 2024 1 repository listed
  Taking advantage of multi-view aggregation presents a promising solution to tackle challenges such as occlusion and missed detection in multi-object tracking and detection.
• FSD: Fast Self-Supervised Single RGB-D to Categorical 3D Objects
  19 Oct 2023 1 repository listed
  In this work, we address the challenging task of 3D object recognition without the reliance on real-world 3D labeled data.
• Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models
  3 Oct 2022 1 repository listed
  Robots operating in human-centered environments, such as retail stores, restaurants, and households, are often required to distinguish between similar objects in different contexts with a high degree of accuracy.
• Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
  21 Jul 2022 1 repository listed
  In 3D, existing benchmarks are small in size and approaches specialize in few object categories and specific domains, e.
• On Automatic Data Augmentation for 3D Point Cloud Classification
  11 Dec 2021 1 repository listed
  Data augmentation is an important technique to reduce overfitting and improve learning performance, but existing works on data augmentation for 3D point cloud data are based on heuristics.
• Explainability-Aware One Point Attack for Point Cloud Neural Networks
  8 Oct 2021 1 repository listed
  With the proposition of neural networks for point clouds, deep learning has started to shine in the field of 3D object recognition while researchers have shown an increased interest to investigate the reliability of…
• Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks
  23 Sep 2021 1 repository listed
  In this paper, we proposed a hybrid model architecture consists of a dynamically growing dual-memory recurrent neural network (GDM) and an autoencoder to tackle object recognition and grasping simultaneously.
• 3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks
  15 Sep 2020 1 repository listed
  Towards addressing this challenge, we propose a new deep transfer learning approach based on a dynamic architectural method to make robots capable of open-ended learning about new 3D object categories.
• MeshWalker: Deep Mesh Understanding by Random Walks
  9 Jun 2020 1 repository listed
  Each walk is organized as a list of vertices, which in some manner imposes regularity on the mesh.
• Triangle-Net: Towards Robustness in Point Cloud Learning
  27 Feb 2020 1 repository listed
  Previous research has shown that points' sparsity, rotation and positional inherent variance can lead to a significant drop in the performance of point cloud based classification techniques.
• Task-Aware Monocular Depth Estimation for 3D Object Detection
  17 Sep 2019 1 repository listed
  In this paper, we first analyse the data distributions and interaction of foreground and background, then propose the foreground-background separated monocular depth estimation (ForeSeE) method, to estimate the…
• Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
  4 Jun 2019 1 repository listed
  We improve upon these methods by introducing a view clustering and pooling layer based on dominant sets.
• 3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models
  17 Apr 2019 1 repository listed
  In this study, we present an analysis of model-based ensemble learning for 3D point-cloud object classification and detection.
• OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended Domains
  8 Feb 2019 1 repository listed
  Nowadays, service robots are appearing more and more in our daily life.
• PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition
  23 Aug 2018 1 repository listed
  With the recent proliferation of deep learning, various deep models with different representations have achieved the state-of-the-art performance.
• Multi-level 3D CNN for Learning Multi-scale Spatial Features
  30 May 2018 1 repository listed
  The multi-level voxel representation consists of a coarse voxel grid that contains volumetric information of the 3D object.
• Triplet-Center Loss for Multi-View 3D Object Retrieval
  16 Mar 2018 1 repository listed
  Most existing 3D object recognition algorithms focus on leveraging the strong discriminative power of deep learning models with softmax loss for the classification of 3D data, while learning discriminative features with…

Syntology lines on 4 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.