During interactive segmentation, a model and a user work together to
del...
Recently, the self-supervised learning framework data2vec has shown insp...
Segmenting humans in 3D indoor scenes has become increasingly important ...
Modern 3D semantic instance segmentation approaches predominantly rely o...
We present Mix3D, a data augmentation technique for segmenting large-sca...
We propose DualConvMesh-Nets (DCM-Net) a family of deep hierarchical
con...
Recent deep learning models achieve impressive results on 3D scene analy...
In this paper, we present a deep learning architecture which addresses t...