ElC-OIS: Ellipsoidal Clustering for Open-World Instance Segmentation on LiDAR Data
Wenbang Deng,Kaihong Huang,Qinghua Yu,Huimin Lu,Zhiqiang Zheng,Xieyuanli Chen,Wenbang Deng,Kaihong Huang,Qinghua Yu,Huimin Lu,Zhiqiang Zheng,Xieyuanli Chen
Open-world Instance Segmentation (OIS) is a challenging task that aims to accurately segment every object instance appearing in the current observation, regardless of whether these instances have been labeled in the training set. This is important for safety-critical applications such as robust autonomous navigation. In this paper, we present a flexible and effective OIS framework for LiDAR point ...
