SOTAVerified

3D Classification

Papers

Showing 150 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
ULIP-2: Towards Scalable Multimodal Pre-training for 3D UnderstandingCode2
OpenShape: Scaling Up 3D Shape Representation Towards Open-World UnderstandingCode2
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingCode2
Voint Cloud: Multi-View Point Cloud Representation for 3D UnderstandingCode1
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural NetworksCode1
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point SetsCode1
Learning Inner-Group Relations on Point CloudsCode1
Learning SO(3) Equivariant Representations with Spherical CNNsCode1
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud ClassificationCode1
PointHop++: A Lightweight Learning Model on Point Sets for 3D ClassificationCode1
M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice TransformerCode1
MeshWalker: Deep Mesh Understanding by Random WalksCode1
ViT-Lens: Initiating Omni-Modal Exploration through 3D InsightsCode1
Multimodal Semi-Supervised Learning for 3D ObjectsCode1
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
Deep manifold learning reveals hidden dynamics of proteasome autoregulationCode1
Peritumoral Expansion Radiomics for Improved Lung Cancer ClassificationCode1
Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation FeaturesCode1
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud AnalysisCode1
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationCode1
Task-Oriented Feature DistillationCode1
Subdivision-Based Mesh Convolution NetworksCode1
MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition0
MVIP -- A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition0
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images0
3D Object Classification via Spherical Projections0
Improved Cryo-EM Pose Estimation and 3D Classification through Latent-Space Disentanglement0
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision0
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey0
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation0
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks0
Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps0
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization0
No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs0
Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers0
Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction0
Computer Vision Intelligence Test Modeling and Generation: A Case Study on Smart OCR0
Concentric Spherical GNN for 3D Representation Learning0
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans0
Covariance estimation using conjugate gradient for 3D classification in Cryo-EM0
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation0
Cross-Modality 3D Object Detection0
Deep Learning on Lie Groups for Skeleton-based Action Recognition0
Deep Models for Multi-View 3D Object Recognition: A Review0
Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification0
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Benchmark Results

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