SOTAVerified

3D Shape Classification

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Papers

Showing 110 of 82 papers

TitleStatusHype
Learning Equivariant RepresentationsCode1
MVTN: Learning Multi-View Transformations for 3D UnderstandingCode1
DSPoint: Dual-scale Point Cloud Recognition with High-frequency FusionCode1
Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point CloudsCode1
Masked Discrimination for Self-Supervised Learning on Point CloudsCode1
PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape RecognitionCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
diffConv: Analyzing Irregular Point Clouds with an Irregular ViewCode1
Fine-Grained 3D Shape Classification with Hierarchical Part-View AttentionsCode1
MVTN: Multi-View Transformation Network for 3D Shape RecognitionCode1
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