NeRFing it: Offline Object Segmentation Through Implicit Modeling
Kenneth Blomqvist,Jen Jen Chung,Lionel Ott,Roland Siegwart,Kenneth Blomqvist,Jen Jen Chung,Lionel Ott,Roland Siegwart
Most recently proposed methods for robotic per-ception are based on deep learning, which require very large datasets to perform well. The accuracy of a learned model is mainly dependent on the data distribution it was trained on. Thus for deploying such models, it is crucial to use training data belonging to the robot's environment. However, collecting and labeling data is a significant bottleneck...
