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Found 4 papers, 3 papers with code
Hyperbolic Chamfer Distance for Point Cloud Completion
Chamfer distance (CD) is a standard metric to measure the shape dissimilarity between point clouds in point cloud completion, as well as a loss function for (deep) learning.
TAD: A Large-Scale Benchmark for Traffic Accidents Detection from Video Surveillance
After integration and annotation by various dimensions, a large-scale traffic accidents dataset named TAD is proposed in this work.
FPCC: Fast Point Cloud Clustering based Instance Segmentation for Industrial Bin-picking
Based on this task requirement, we propose a Fast Point Cloud Clustering (FPCC) for instance segmentation of bin-picking scene.
A Convolutional Neural Network for Point Cloud Instance Segmentation in Cluttered Scene Trained by Synthetic Data Without Color
A great convergence of training loss often requires a large amount of human-annotated data, while making such a 3D dataset is time-consuming.
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