SOTAVerified

3D Classification

Papers

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Showing 26–50 of 79 papers

TitleStatusHype
Subdivision-Based Mesh Convolution NetworksCode1
MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition—0
MVIP -- A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition—0
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images—0
3D Object Classification via Spherical Projections—0
Improved Cryo-EM Pose Estimation and 3D Classification through Latent-Space Disentanglement—0
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision—0
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey—0
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation—0
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks—0
Automatic Aortic Valve Pathology Detection from 3-Chamber Cine MRI with Spatio-Temporal Attention Maps—0
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization—0
No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs—0
Classification of FIB/SEM-tomography images for highly porous multiphase materials using random forest classifiers—0
Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction—0
Computer Vision Intelligence Test Modeling and Generation: A Case Study on Smart OCR—0
Concentric Spherical GNN for 3D Representation Learning—0
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans—0
Covariance estimation using conjugate gradient for 3D classification in Cryo-EM—0
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation—0
Cross-Modality 3D Object Detection—0
Deep Learning on Lie Groups for Skeleton-based Action Recognition—0
Deep Models for Multi-View 3D Object Recognition: A Review—0
Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks—0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification—0
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Benchmark Results

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