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
ViT-Lens: Initiating Omni-Modal Exploration through 3D InsightsCode1
Task-Oriented Feature DistillationCode1
Voint Cloud: Multi-View Point Cloud Representation for 3D UnderstandingCode1
Peritumoral Expansion Radiomics for Improved Lung Cancer ClassificationCode1
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationCode1
Subdivision-Based Mesh Convolution NetworksCode1
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
Learning SO(3) Equivariant Representations with Spherical CNNsCode1
MeshWalker: Deep Mesh Understanding by Random WalksCode1
Deep manifold learning reveals hidden dynamics of proteasome autoregulationCode1
M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice TransformerCode1
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud ClassificationCode1
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud AnalysisCode1
Learning Inner-Group Relations on Point CloudsCode1
Multimodal Semi-Supervised Learning for 3D ObjectsCode1
PointHop++: A Lightweight Learning Model on Point Sets for 3D ClassificationCode1
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point SetsCode1
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation FeaturesCode1
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Benchmark Results

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