Interactive Object Segmentation in 3D Point Clouds
Theodora Kontogianni,Ekin Celikkan,Siyu Tang,Konrad Schindler,Theodora Kontogianni,Ekin Celikkan,Siyu Tang,Konrad Schindler
We propose an interactive approach for 3D instance segmentation, where users can iteratively collaborate with a deep learning model to segment objects directly in a 3D point cloud. Current methods for 3D instance segmentation are generally trained in a fully-supervised fashion, which requires large amounts of costly training labels, and does not generalize well to classes unseen during training. F...
