1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2019★ 1 cited
Supervized Segmentation with Graph-Structured Deep Metric Learning
Loic Landrieu, Mohamed Boussaha
We present a fully-supervized method for learning to segment data structured by an adjacency graph. We introduce the graph-structured contrastive loss, a loss function structured b…
cs.CV2019
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Loic Landrieu, Mohamed Boussaha
We propose a new supervized learning framework for oversegmenting 3D point clouds into superpoints. We cast this problem as learning deep embeddings of the local geometry and radio…