SOTAVerified

3D Classification

Papers

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Showing 1–50 of 79 papers

TitleStatusHype
MVIP -- A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition—0
Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding—0
Mitigating Ambiguities in 3D Classification with Gaussian Splatting—0
Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks—0
Peritumoral Expansion Radiomics for Improved Lung Cancer ClassificationCode1
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization—0
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point SetsCode1
Hyperbolic Image-and-Pointcloud Contrastive Learning for 3D Classification—0
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled DataCode0
Computer Vision Intelligence Test Modeling and Generation: A Case Study on Smart OCR—0
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images—0
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked AutoencodersCode0
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scansCode2
Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks—0
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision—0
No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs—0
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation—0
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding—0
SE3D: A Framework For Saliency Method Evaluation In 3D ImagingCode0
Deep Models for Multi-View 3D Object Recognition: A Review—0
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks—0
Group Multi-View Transformer for 3D Shape Analysis with Spatial EncodingCode0
MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition—0
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey—0
ViT-Lens: Initiating Omni-Modal Exploration through 3D InsightsCode1
Virtual imaging trials improved the transparency and reliability of AI systems in COVID-19 imagingCode0
Robustifying Point Cloud Networks by RefocusingCode0
Improved Cryo-EM Pose Estimation and 3D Classification through Latent-Space Disentanglement—0
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D RepresentationCode1
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation—0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification—0
OpenShape: Scaling Up 3D Shape Representation Towards Open-World UnderstandingCode2
ULIP-2: Towards Scalable Multimodal Pre-training for 3D UnderstandingCode2
Self-supervised Learning by View Synthesis—0
Variational Relational Point Completion Network for Robust 3D Classification—0
Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps—0
Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction—0
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D UnderstandingCode2
Local Neighborhood Features for 3D ClassificationCode0
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world LearningCode2
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial AttackCode0
SimpleView++: Neighborhood Views for Point Cloud ClassificationCode0
Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers—0
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling StrategiesCode3
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud ClassificationCode1
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems—0
M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice TransformerCode1
Dynamics-aware Adversarial Attack of 3D Sparse Convolution NetworkCode0
Voint Cloud: Multi-View Point Cloud Representation for 3D UnderstandingCode1
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Benchmark Results

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