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Found 4 papers, 3 papers with code
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
In recent years, there has been a growing trend of incorporating hyperbolic geometry methods into computer vision.
Hyperbolic Contrastive Learning
Learning good image representations that are beneficial to downstream tasks is a challenging task in computer vision.
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.
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.
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