SOTAVerified

3D Classification

Papers

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Showing 51–79 of 79 papers

TitleStatusHype
Localized Perturbations For Weakly-Supervised Segmentation of Glioma Brain Tumours—0
Deep Learning Based Automated COVID-19 Classification from Computed Tomography ImagesCode0
Multimodal Semi-Supervised Learning for 3D ObjectsCode1
Dynamic Local Geometry Capture in 3D PointCloud ClassificationCode0
Learning Inner-Group Relations on Point CloudsCode1
Subdivision-Based Mesh Convolution NetworksCode1
VA-GCN: A Vector Attention Graph Convolution Network for learning on Point Clouds—0
Convolutional neural networks for Alzheimer’s disease detection on MRI imagesCode0
Exploiting Local Geometry for Feature and Graph Construction for Better 3D Point Cloud Processing with Graph Neural Networks—0
Concentric Spherical GNN for 3D Representation Learning—0
The Card Shuffling Hypotheses: Building a Time and Memory Efficient Graph Convolutional Network—0
Deep manifold learning reveals hidden dynamics of proteasome autoregulationCode1
Task-Oriented Feature DistillationCode1
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation FeaturesCode1
Cross-Modality 3D Object Detection—0
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
MeshWalker: Deep Mesh Understanding by Random WalksCode1
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud AnalysisCode1
Region Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound—0
Triangle-Net: Towards Robustness in Point Cloud LearningCode0
PointHop++: A Lightweight Learning Model on Point Sets for 3D ClassificationCode1
Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer's diseaseCode0
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans—0
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning ModelsCode0
3D Object Classification via Spherical Projections—0
Learning SO(3) Equivariant Representations with Spherical CNNsCode1
Deep Learning on Lie Groups for Skeleton-based Action Recognition—0
Covariance estimation using conjugate gradient for 3D classification in Cryo-EM—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1U-10 ModelAUC0.85—Unverified
2BIMCV-V2 ModelAUC0.68—Unverified