Papers 3D Classification
“3D Classification” 태그가 달린 논문 91편 · 필터 해제
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis
Point clouds are among the popular geometry representations for 3D vision applications. However, without regular structures like 2D images, processing and summarizing information over these unordered data points are very…
3D Classification3D Part SegmentationRegion Proposal Network with Graph Prior and IoU-Balance Loss for Landmark Detection in 3D Ultrasound
3D ultrasound (US) can facilitate detailed prenatal examinations for fetal growth monitoring. To analyze a 3D US volume, it is fundamental to identify anatomical landmarks of the evaluated organs accurately. Typical deep…
3D Classificationobject-detectionObject DetectionRegion ProposalTriangle-Net: Towards Robustness in Point Cloud Learning
Three dimensional (3D) object recognition is becoming a key desired capability for many computer vision systems such as autonomous vehicles, service robots and surveillance drones to operate more effectively in unstructu…
3D Classification3D Object RecognitionAutonomous VehiclesClassification+5PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
The PointHop method was recently proposed by Zhang et al. for 3D point cloud classification with unsupervised feature extraction. It has an extremely low training complexity while achieving state-of-the-art classificatio…
3D Classification3D Point Cloud ClassificationGeneral ClassificationPoint Cloud ClassificationEnhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer's disease
Alzheimer's Disease (AD) is the most common type of dementia. In all leading countries, it is one of the primary reasons of death in senior citizens. Currently, it is diagnosed by calculating the MSME score and by the ma…
3D ClassificationGeneral ClassificationFusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
Automatic abnormality detection in abdominal CT scans can help doctors improve the accuracy and efficiency in diagnosis. In this paper we aim at detecting pancreatic ductal adenocarcinoma (PDAC), the most common pancreat…
3D ClassificationAnomaly DetectionBinary ClassificationClassification+23D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models
In this study, we present an analysis of model-based ensemble learning for 3D point-cloud object classification and detection. An ensemble of multiple model instances is known to outperform a single model instance, but t…
3D Classification3D Object Detection3D Object RecognitionEnsemble Learning+43D Object Classification via Spherical Projections
In this paper, we introduce a new method for classifying 3D objects. Our main idea is to project a 3D object onto a spherical domain centered around its barycenter and develop neural network to classify the spherical pro…
3D Classification3D Object ClassificationClassificationGeneral Classification+1Learning SO(3) Equivariant Representations with Spherical CNNs
We address the problem of 3D rotation equivariance in convolutional neural networks. 3D rotations have been a challenging nuisance in 3D classification tasks requiring higher capacity and extended data augmentation in or…
3D ClassificationData AugmentationGeneral ClassificationRetrievalDeep Learning on Lie Groups for Skeleton-based Action Recognition
In recent years, skeleton-based action recognition has become a popular 3D classification problem. State-of-the-art methods typically first represent each motion sequence as a high-dimensional trajectory on a Lie group w…
3D Action Recognition3D ClassificationAction RecognitionDeep Learning+4Covariance estimation using conjugate gradient for 3D classification in Cryo-EM
Classifying structural variability in noisy projections of biological macromolecules is a central problem in Cryo-EM. In this work, we build on a previous method for estimating the covariance matrix of the three-dimensio…
3D ClassificationGeneral Classification