PC2Model is a new public benchmark dataset combining simulated and real-world 3D point clouds with corresponding models to train and test registration methods.
In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp
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33% of 147 common sEMG features show significant associations with demographic characteristics in a cohort of 81 individuals.
A systematic literature survey that categorizes deep learning architectures for point cloud classification, part segmentation, and semantic segmentation, evaluates them on benchmarks, and discusses innovations, limitations, and future directions.
A survey of RGB-D object detection from traditional hand-crafted features with machine learning to deep learning techniques.
citing papers explorer
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PC2Model: ISPRS benchmark on 3D point cloud to model registration
PC2Model is a new public benchmark dataset combining simulated and real-world 3D point clouds with corresponding models to train and test registration methods.
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Bias in Surface Electromyography Features across a Demographically Diverse Cohort
33% of 147 common sEMG features show significant associations with demographic characteristics in a cohort of 81 individuals.
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A Systematic Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation
A systematic literature survey that categorizes deep learning architectures for point cloud classification, part segmentation, and semantic segmentation, evaluates them on benchmarks, and discusses innovations, limitations, and future directions.
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RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques
A survey of RGB-D object detection from traditional hand-crafted features with machine learning to deep learning techniques.