SOTAVerified

3D Classification

Papers

Showing 125 of 79 papers

TitleStatusHype
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling StrategiesCode3
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scansCode2
OpenShape: Scaling Up 3D Shape Representation Towards Open-World UnderstandingCode2
ULIP-2: Towards Scalable Multimodal Pre-training for 3D UnderstandingCode2
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingCode2
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
Peritumoral Expansion Radiomics for Improved Lung Cancer ClassificationCode1
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point SetsCode1
ViT-Lens: Initiating Omni-Modal Exploration through 3D InsightsCode1
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationCode1
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud ClassificationCode1
M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice TransformerCode1
Voint Cloud: Multi-View Point Cloud Representation for 3D UnderstandingCode1
Multimodal Semi-Supervised Learning for 3D ObjectsCode1
Learning Inner-Group Relations on Point CloudsCode1
Subdivision-Based Mesh Convolution NetworksCode1
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
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
PointHop++: A Lightweight Learning Model on Point Sets for 3D ClassificationCode1
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Benchmark Results

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