SOTAVerified

3D Object Classification

3D Object Classification is the task of predicting the class of a 3D object point cloud. It is a voxel level prediction where each voxel is classified into a category. The popular benchmark for this task is the ModelNet dataset. The models for this task are usually evaluated with the Classification Accuracy metric.

Image: Sedaghat et al

Papers

Showing 7693 of 93 papers

TitleStatusHype
Addressing the Sim2Real Gap in Robotic 3D Object Classification0
Classification of Single-View Object Point Clouds0
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network0
ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition0
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN0
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations0
Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme0
FusionNet: 3D Object Classification Using Multiple Data Representations0
Generalized Multi-view Shared Subspace Learning using View Bootstrapping0
Spherical Convolutional Neural Network for 3D Point Clouds0
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis0
Formula-Supervised Visual-Geometric Pre-training0
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning0
HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces0
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting0
Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition0
Improving Normalization with the James-Stein Estimator0
Wide and deep volumetric residual networks for volumetric image classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OursClassification Accuracy93.6Unverified
2G3DNet-18 MLP, Fine-Tuned, VoteClassification Accuracy91.7Unverified
3CrossMoCoClassification Accuracy91.49Unverified
4O-CNN(6)Classification Accuracy89.9Unverified
5Spherical KernelClassification Accuracy89.3Unverified
63D-PointCapsNetClassification Accuracy89.3Unverified
7ECC (12 votes)Classification Accuracy83.2Unverified
#ModelMetricClaimedVerifiedStatus
1PolyNetAccuracy94.93Unverified
2ORIONAccuracy93.8Unverified
3G3DNet-18 SVM, Fine-Tuned, VoteAccuracy93.1Unverified
4ECC (12 votes)Accuracy90Unverified
#ModelMetricClaimedVerifiedStatus
1SceneGraphFusionTop-10 Accuracy0.8Unverified
23DSSG [Wald2020_3dssg]Top-10 Accuracy0.78Unverified
#ModelMetricClaimedVerifiedStatus
1YOLO-Xmean average precision0.99Unverified