SOTAVerified

3D Classification

Papers

Showing 110 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
Show:102550
← PrevPage 1 of 8Next →

Benchmark Results

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